{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d7fce7a7",
   "metadata": {},
   "source": [
    "### 导入相关需要的库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "33903ed4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import json\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ffaacb82",
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import set_printoptions\n",
    "set_printoptions(suppress=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58b40010",
   "metadata": {},
   "source": [
    "### 画图（可视化函数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "180f6680",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_forecastpoint(predicted_data):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    plt.plot(predicted_data, label='Prediction')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "40945c45",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_multiple(predicted_data, true_data):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.plot(true_data)\n",
    "    plt.plot(predicted_data)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "73f118a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_results(predicted_data, true_data):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.plot(predicted_data, label='Prediction')\n",
    "    plt.plot(true_data, label='true_data')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f00afbc5",
   "metadata": {},
   "source": [
    "#### * 1.加载数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cd88e22d",
   "metadata": {},
   "outputs": [],
   "source": [
    "configs = json.load(open('config.json', 'r'))\n",
    "df = pd.read_csv('./data/sh600031.csv')  # 读取股票文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b82f701",
   "metadata": {},
   "source": [
    "#### * 2.加载模型预测的库文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52b88e35",
   "metadata": {},
   "outputs": [],
   "source": [
    "from model_predict import model_predict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f951961",
   "metadata": {},
   "source": [
    "* 1.dataframe：用于预测的pd.DataFrame类别的数据（实验数据集没有新的数据，因此还是用训练模型时用的测试集数据以验证）\n",
    "* 2.cols：要进行数据采样的列（需与模型对应）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cd7f4fec",
   "metadata": {},
   "outputs": [],
   "source": [
    "forecast = model_predict(dataframe = df.iloc[int(len(df)*configs['data']['train_test_split']):, :],\n",
    "                         cols=configs['data']['columns'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fcdf757e",
   "metadata": {},
   "source": [
    "* 1.模型路径\n",
    "* 2.seq_len：序列长度（与模型构建时设置参数保持一致）\n",
    "* 3.normalise：是否归一化（与模型构建时设置参数保持一致）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdc10dca",
   "metadata": {},
   "source": [
    "'input_timesteps' 由于实验是单步单特征预测，因此input_timesteps即等于序列长度sequence_length减少一"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c7154d6",
   "metadata": {},
   "source": [
    "#### *3.进行预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7c7425d9",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Model] Loading model from file saved_models/20211210-155727-e32.h5\n",
      "[Model] Predicting Point-by-Point...\n"
     ]
    }
   ],
   "source": [
    "forecastpoint,y_test = forecast.forecast(\n",
    "        \"saved_models/20211210-155727-e32.h5\",\n",
    "        input_timesteps=configs['data']['sequence_length']-1,\n",
    "        normalise=configs['data']['normalise'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80af4892",
   "metadata": {},
   "source": [
    "其实是没有多大意义的可视化化，因为每一个预测数据点都不是连续的，而且其中相差input_timesteps天，\n",
    "因为是拿input_timesteps数量的数据去预测将来一天的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "47f92f07",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画图\n",
    "plot_forecastpoint(forecastpoint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "69768ee6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((47,), (47, 14))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecastpoint.shape,y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e1d08777",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7dc6f35",
   "metadata": {},
   "source": [
    "#### *4.将预测的每一个数据点按照input_timesteps间隔插入y_test即可得到完整的数据，\n",
    "#### 此时要注意，最后一组数据预测出来的最新一个数据还未插回去"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "13903e18",
   "metadata": {},
   "outputs": [],
   "source": [
    "forecast_test = y_test.copy()\n",
    "for i in range(1,len(y_test)):\n",
    "    forecast_test[i] = np.append(forecastpoint[i-1],np.delete(forecast_test[i], np.s_[::configs['data']['sequence_length']-1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "359e0e66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((47, 14), (47, 14))"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.shape,forecast_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d5326327",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "         0         1         2         3         4         5         6   \\\n",
       "0  0.000000 -0.012478 -0.003565  0.048128  0.025847  0.039216  0.103387   \n",
       "1  0.065343 -0.019512  0.039024  0.052846  0.026829  0.050407  0.086179   \n",
       "2  0.064491  0.003814  0.001526 -0.070175 -0.062548 -0.059497 -0.093822   \n",
       "3 -0.094348 -0.019277 -0.039357 -0.024900 -0.024096 -0.060241 -0.069076   \n",
       "4  0.009548 -0.022672 -0.031579 -0.030769 -0.021053 -0.032389 -0.011336   \n",
       "\n",
       "         7         8         9         10        11        12        13  \n",
       "0  0.157754  0.140820  0.167558  0.169340  0.147059  0.097148  0.077540  \n",
       "1  0.121951  0.102439  0.138211  0.071545  0.055285  0.046341  0.074797  \n",
       "2 -0.090770 -0.061785 -0.065599 -0.130435 -0.075515 -0.096110 -0.095347  \n",
       "3 -0.044980 -0.040161 -0.044177 -0.033735 -0.011245  0.016064  0.010442  \n",
       "4  0.046154  0.044534  0.048583  0.035628  0.032389  0.042915  0.044534  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(forecast_test).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6fee89af",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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pwnErVUIhIQzQlIcgsjY1IqtSiWCJhW9YGpouGhb+c8TUocPk43HWr1hBUUVz2xKL5rq5pYVQCPK5ZjRzI5e97W2YsXjdwx82/PjLBJcc4Z+YeZyjaY+SlwegFHQye+cniP/yL9M5NcE9X/n6RRubX3Fx6xa+QiDlpZGaqeVOoqGoTp28IMd3S/VOSypEIdHnJZLrpKS0YEEPH0AIgZ0wGgJqzxEH7rgdgO033si8lmt7PB79m0wQSok0YzR1vJpsVwIzFm0T+I3UzGWCS47wV2Uvo5QMcF2FUorj8jKaTtzCy992E6M9K+Ez/3HRiDaoeTh1C98XIdXq0pZxhekaxdnlJ6pmVcYAcGeHLsjx/XJEJkoGKBFCfQ41Ff0rtaUWPtTlFSoNwn8uODY8TKZWo2vHDspaNJ8dqSQArZOHSZTzyHSM1VdsRAiBYUeEn25WjdTMZYJLjvAN3WJli40mNTyV56R2NVk5w/Tjt1B90030jAxRyOUvythULcAh0tDxCCiVCku23/nfh7jnC0cuxtDOCQlvGgA/P3ZBju9Xo2C7DH0CzScUVUBDD6LPNREsydKBKHDr1ZaHSyc/NEToX9yxVmdnmbBt1qQzAJS1yHffmU6hpKRyx80EYYgUMbrWJvB9n9LAOq5vfwvppqCRqbNMcMkRPsANm14BgK8PMRf04GDjPfxvxNraAMhfJMLHkbiiTvgioFZZ+pCU8y6VwvISVQs9h7SMXlyycGF0i4I6cSsZ4GsKzygjRBwRRoQvNB9NXxoTWS6KmYWRET7+qU9x7//7fxd1HAdvvRWpaWzdeQ0AFT3y3Xdm0jz+b39JPhdyvHc9KIHBCPd85WZWeavJmG0kkx6FqRpheGm4KC9lXJKEf83OnwHAEYNoNZhofwUr8o9i2dHPLc1dHE1vzQGHiIRcAqrlpYTvlP1lF2gsjRzCEbDHtlDlCxO0DZ15wvfxdEHVrIBIoNxIE18YPkKcTvjLownK/u99j9AwODY8clHHcfjQISzPY/2NNwJQ0eOY0uPkLTdz1717aYqH7F+7DYATe3axYV87AKZmkUzUkFJRmFp+7siXGi5Jwk90r0PoIa6aIRkqtJ3vwSQgMXIvAJWLZOFrDgRaZAV5wsc9petVGEq8WrAsrNJTUR09yBcyad7d3YlTvTAuHeVHcyJlgG8HFC0XoSUIPA+hBEKc+ZJcLn1tj5yMAt2TpolXuThuERmGDEtJn6ahWxYAFS1OIqzQ/+TdaL7LhsuvoRKP/PneeJw5u8CR2CCGZhMzo3E3MnVe/LgkCV9oGi1Jhe5XEAjmklcybaxgxXRUDl7NXSQL/xT9HI8At7pYCOaU68FcJ0Quo6WxN3WUo5ZJKARVf+aCnCOcF5qTEs8OKcYC0OI4gY+FgdLOTvheNUC9iCWSnXyeUcMgI+OEhs6Ju++5KOOY2LsP17JY3dcHQBgGVLQUyaDG3NwMoaFTMzajS4EudKpCYf5YD34hgyksbD2SLWkEbl/8uCQJH6AzmyblRP7wEydzVDb9OJ3aBABuPn9RxiT8RbeDK4IlTVDmCR/AXUayvmpugBP14pyavEB6RUE0H0JJ/IRHMRUgRJxqGGArA3VWC99EKfBexBXNB269lVDXuS7YgFBw7MmL04d5YPcTAKy64goAnGqJMilSfpVCxeNkV4HDxRFuGg9oDZPMMordvA4ttNE1A88pkW6JMXcJpGYeu/0OBh966GIP44LhkiX8bFcnhi9QyuPQiT10vv59yHrqXlAoPsO3LwyEjM5veR4eSwm/dirhL6N0QlEaYsCsE766QNIV4aKFLzI+YdJBiASO9LAxkeLM+VqQV6i8eN06B/YdwFIGccOgXTUxeJHuy9GhIYwgYMWVVwLgVAuUSNM3NYQIBSPtNQqBx/86qVBGjJJwefD+EYJ6u8la2SHbnbgkXDrf/cH3+f7NN1/sYVwwXLKE37JyHQAuY+Tmpohnu5hovRahK2Ru7hm+ff4RhiFKRNNt+y6eCJCnNEGplRbJfzn58Qv+GF49YFoTATK8AGOv100IKdFSgkSiBFocX7pYyiAUZ1rxi3o6L865DD2PEU1nZdhC5mfX0x02MRezqEwtBr5nR8vc++WjF7xz10S1Rpvvo9df3E61SJk0PaMDSKGYanV5o3cZUige7Y7h6nHGDk7gq+h+dmoB2e4kuYnqsu8y5glBTS3v3/B0uGQJP7v+MgA8MY7lmJTdHKr7CnRLouWmX/DxlEp53LolWgs8PPwlTVCWuHSWQbBxHhNi0aor6QInP3H+TzL//CkNLbWRTLKMIEao/Drhn83Cn9fTOf9z+cg9d3Hi6KFzOsaub3wDT4eUFbJ+41YsM0AJweE771zY5/FbB9l31wiTJwtPc6Rzg1epkIvZdDc1LXxWqxWokCI7Ns5ss8s78m+mN2zlC6uK9DdlATCLJeZn3a0pWrqShL6kNHtxBQrPFb6m4YhLR/bkdFyyhN+88RpAEZMzNDlt3HLwE4hEC7olMQv5F3w8pUJhQUdH81xCoVCnkJFTOZXwX5xW6emo5SYYNhcfjoKmU5sePO/nUfXbVCiNz2dfyWh8B/NnNZVGoL2wFn7T9z0Gvv/c/O0zu+9k+M4vLPx95Ml+dCW46idfFx3z2pUYSuPQ/sMAeE5A/5ORYTKw/8J1bBt65BGkptG7Zs3iWIuzxKo1zEIN2drCu2bfxK74E5R7YkwnWgEQhksuFq1KfVcj2x1l8Cxnt46UEt8wcEzzkpE9OR2XLOGbyWYydkhK5kh5zXzn2B0YqVZ0S2KVLpzF9FSolEo4wkeTChHU88prizdVrbT8LPzyyAFOmiYtQpFAkdc03NnhC3CmiN6F0vATWaqJHqQWEbmpBL4Iz3hAFwj/PAfAK5USqTCBUX1uVuD9n/knvvnpz+LlpxgdGWTKgA5PZ9WmqDvbVa95JZ1hhqm6qN7A3hkCTxJPmwxeSMI/cACA1ddeu/DZdLXImuGjAGyzr8IVHl9u+xqttkkxngSlCI0qRl9dK9/XyXZFktXLueLWL5dRmobUdZz8Uo4Ifcm9Xz5Krby8CiNPxyVL+AAtGRPpFxBoDM8azJkemiWxL0K+c7VcxsFHCxVC1rNOlrh0PFLZqLpxORQMATjjhzlhGfRYcVK6Rl7XCPKj5/08oRAIBRo66Bpz1goCPbLqTalQgjMe0Ni8S+c8B8BnpicBSOWf26NTrrh4UufgVz7Gni/cRllzWNPdvLA9kUiRQVI0FROHDnH00UlSLTZXvL6P2ZEy5dyFcZWMTkwQd1xa161b+GzGqbBm6BihBde4l3M8sYdpq0R73CbUdHRlIkWepu4UACI0iSVNEhmL3MTyzdSpzS3G9krjS2tKpkdK7LtrhKEDL3z873zi0ib8thYc10MpRZPTzg9K96BbCrv6wlcEOuUqrvARMkSEdRfEKVxUK/uksja6qS0bl443eZR+06Qv003KMClqGrJ4/n34EoGuNKgHvafopGoGgMCoW/bVmaVxGTOmI7TzL5Gcm4pqDVJh6jl9r+JEgYh9jxzDL5ig4NoffduSfTo3dQLw0M3fZ+jgHBt3drLqssiFcqGs/MkgpOO0xUrOq7J65DiJjhU0hSlmrYcoGCFZIbB8heanQSuRyUZuHE1GxVrZ7sSyzsWvnpKuXZ5aWjXu1Z/JU5MrliMuacLP9vQSKAGqTKezijvyh9EtSaz2wgeW/IqLI3xE6C8Svlx80mpln1jKWjYVogCzpUPUNI31bVtIWTFyuo4qT57Xc0gpCYRAU4u+/JpIULNdEDH0elZQZXYpIQohsOPnX0+nNB7pBcVJEATP7tgqCKj6GhkroMe6gWF9lnbHoble6DSPl/3Ej2NLg9li1FRk47VdtHQnSbfELgjhF8fGKMdjrGhvX/K5MzlGzHNYkdiMK6qM6/04GmjOJKumfYwggW+GtLRHQmu6ilZTLV1JcuMV1DLNcnGKi2mxpdPup3nX4Kmu1+WIS5rwW1ZvAsCXM7Q7mxnyAvJxgeGHL3i7w6Dm4eKjAhdkRPhSLU6/U/aJp8xI1neZWPjjfkR+G1uvIGMmyesaWvX8VtuO9j9BSJ3wNY1sOXLdlBM+QiQWXp7Vs8hlXIiXpzsVnUcTGvn8syPh2vQQEo1Nl2+jI7OJWa3Mxq6uM/azYzHafJgza7R02bT2pBBCsGp7K8OHc4T++Q0kDjzyCAB9m7cs+VyNz4Ew2BpuY8LexWjQC8DUxAHWTvho0iY0NFJBVGhn1BvSZLuTeE5IJb88rWCntFg4eLr8ildrWPgLuPXWW9m0aRPr16/nwx/+8Bnb7733Xq666ioMw+BrX/va+Tjl0+K++wdxnYDsxqsB0MQEyUoPGoonM5E1kp99YeUVVC2Imp+EPqJulap6MFIphVP2iaVMYsvIwh8nWr5v7Xw5GStJQdMw3PM7r0NHbsUHNAWhpnFdLnIZVdMStBiqPpfV4pmB+AuhmKnyi9dmbvrZpfdWxk4A4Of6GNYjH/DabavPum97c4aq8EjFFmMhqy5rJXBDxo7ln9+gnwLDR4+CUqy6/voln+sTJezuK0nJBHljD1oQuZpGZ06ydsLHS9UFAEf78aWPybxLZ3ln6jjlxf4UlfLSqnGvFhkWL3nCD8OQ9773vXzve9/j4MGDfPGLX+TgwYNL9unr6+Mzn/kMP/3TP32up3tGHD48zS98ez9/9M8Pk+jZhKmFWGoSq6ZxeaaFR5uim7PwAuvpqGqAS0T2om7hB0Lhug6+GxIGkljKXDayvjLwGdEVWSXJWl1kKmkqmobund959Ur3EiIRSuHrOr90dVRf4SZ1hEggw4iAq8UzZR0uRNcrs7qou58feXYpqJWpYWwtwQZvOyfVAJpTY/yJ755136auyEjxSosvk55NWXRTY2D/+V09jeVyNDsOiZbswmfl4cOYOYeVqXUU9TKz4RzrMpHrqVjzaCtJCu3R/Ts7PIyvAgwRGVHLPVPHOUW9tlJZGnz26kWS1Ze6S+fRRx9l/fr1rF27FsuyeNe73sXNp5Umr169mh07dqBpF96DtHlzO7+0qo2vTxf4z68cIJsELZwhGQquyl7FeCIaQ/kFtvCphigBIgwRSkOoSBO/XC4uFF3FU9ay6dRUGosCtj2awb2f+jT+nj50qeOp86enU6sUSGqjBKJO+IbJK7ZsJulVcNJxhIgT1lNcT7fIoN716jyvluJenGrdlVEde3bxisr0GBubrsHTFDOmT7Yyx959QwS1pR3PlFJMDBrEQouCppiejlYzpqXTszHL4L7z58eXUjKtaXTa9pLPB+78Crow2Bas4OHUbqa8VVx79U1oSmFVOwAYWyHRg4CZmRl8FWDWCT+RiWJQyzVTx61F49aDgJrrnLYteiadl3pa5ujoKCtXrlz4u7e3l9HR55ea96lPfYprrrmGa665hulnuVw+HZ7v8sNXK94QN/nrvSOEsWYCL3pAtdIqyvHIjVJ5gS18Uc+5F4GP0FvQpcLDp1IqLejoxBcs/Be/FVEe3s8Jy6Qn1sTQ2ChoBnZo42nuEnmFcwngnTx0FzFXIyBESElg6miaRrZSJNfUBlqcIPQQCiqVMzOvLsRqKRmmyLkREfu5Z5ftVZ6bosXuZtA9gtIEV29eRS0wOPaNTyzZb3a0wtxYhZZQZ1zLse+uBxe2rb6slcJ0jfzk+SHTqQMH8CyLnhU9Sz7vf3I3bc2biSmTgfjDHFGr2H7lDtpCSbq2knJMMdFkkw5cctVqnfAtVBAghCBbD9wuR7j1uF7a96me1oFsPkvnJW/hn0/82q/9Grt27WLXrl20n5Y58GwxOzNF+9d93rG+Qq+uc6e/HieQKOUT5DuoxKL9nMILXHxVv09EGILegiYVrgioVisLfsF5l47nhC96TZKx8QepaBqrs+uYCqOx2tKmqGnU5hZzmG/5xz3c/7Vjz+scUxN3YzmxuktHIuptDDtqNcZTvSBiBMrFwsDxzq6Y6VWD85Y1IqUkpdIU/TkC6SPKzy6IWprNkdBTDFhlYrUa1/3K75GNB+y++94l+x19dAJNE2zf0BMVk+1x+eDv3k3NCVi1/dmlZ0opefhb//OMGUQDjz8OwKrLdyx+13MZHHfoyl5BTi9iavsYVCuIJyyyvk5TZR1j2ZCSyJAxIK8imW9Tswiq0fPUsoxF1FzXRQtDkkJQO+35m7fwAzfEfxErsD4Tzpnwe3p6GB5erK4cGRmhp6fnab5xYdHdvZLx+AyxUY9/e/dO8mYWEKgwT5BrplwnfO8FlkhW9RRMIQWeKRBhiEeAU64uyCrE0+aCBoz3IvfjDxejOM3apquoxCO3QMpNkdc1nOkBAHwvZPRonpnh8lMd5mnh8SiqlCYgBClJJaPKztW2yZzWCkLDly62MnGDs8srSKnO2wOaz81iCANHFHDCCoZjPqvvFXNFTCPBWNwlWdLRbZsrrt3BeEFj8pFvA6Ck4thjk6zc1sK2N7wGgJrw6alKTg4WyLTFyXYlGHwGP/6e2/6H3gc6uOtjHztj2+E93+OB738IgJGhIfQgoPfqqxe2jz34DUIVZy3d3Jd5gj5fUlMZykOH6CqtwQwTTMc9SmRIJ0wqto2Lh6HZeKUoGJ3tTlIr+cuyItX1fcwwJG4YONrS4gTvlIrt5Ry4PWfC37lzJ8eOHaO/vx/P8/jSl77E2972tmf+4gVEvsejN9dGb2+cX7l6BQCemsXPx6jGQKFecIlkVU/B1KRNxXYQMsATAW61uuDDj6Us7DqpOS9yt86YFxWmtIwvim61VDMUNA13LmrXNzNUQkn1vB6QqdGjGIlJtGqSQEhQktWtURbIpvYWlNAIdSLFTAy8s1jx51tPZ2Y6+s3SKOPICnYQf1bfq1Yk00aVUEgC4yo++f+eYOs7fxNTC9n9jc8CMH4iTznnsvHaTr73SBnTTzKmzdFjeIyMRS7JVZe1MXosvxBAPBsKA5E7tXV8Beo0uYnBwU9SFf+FlJKJSiVSyKx3uALof+gOViTXYSmNezOPE3NbaMZj4GMHaS1uQyEpaA4l0iSabZQmKIkqpmbhlxcJHyC3DLXxXT/ADCUJ28Y1jCXbPCdY6Ju8nHPxz5nwDcPgE5/4BG984xvZsmUL73znO9m2bRt/9md/xi233ALAY489Rm9vL1/96ld5z3vew7Zt28554E+Hlq0rsJXFwd1P8OYffwMAVZnDmYlIIbBB5V84H34YhszbmEKZtBVdCKOsHb/mUSv5aJrAiumnqDy+uC38UeWQkZLpo4ul5mk3QUHT8HMR6UwNRkT1fAh/4Oj3ATA8u27hh2xY0QLAxpZmAHyDBQv/bGc433NZnK3/VrNGTZWJy+Sz+p4MUgxpM+hSsGL0JHJ3nk9/cZwt67IcGShRmxrk6KOTGLbOk0N5pr4/hFkpM6nl6TJrTA9EL9BV21uRgWLk8FPfu34hmokOcyW7/+fTC59XK3n05CE0PSA/OcScZdGVziz5bv+xEXqaNzNlORyMn6RS66NFeTRbHWRKm5lOjhD3R/CFjZaOVnVl4WAIC7cYjamlTvjLMVPHC0MsFIlEgsAwcE/Jy/dqAZm26AX/krbwAW666SaOHj3KiRMneP/73w/AX/zFXyxY+jt37mRkZIRKpcLs7CwH6oJNFwpbrrgST/jkDo1iZlpJWQGmnCLhQ1IJXFuhP8uimfOBUimPqwV1mV+DrpyPCn08EeDXXJyyRyxlRtWhC1bpi9uKGNYVfUoxMJnDlBaaEqSCyKWjSlFQc3IgWkU5Zf85xSScmVHmZm/HqaWwJIRIkCEtrc0AbO2K8sKduLZg4ftnkbSdXy2dr7ms5iICsBMhjqiQ4NkRvq41URAVEq7G9oP/RTVWQjtQ5LjxwwRKY+8XPsbxJ6YwWi3GvnMnsvTvqOIxpICKLagNDQDQvb4JM6Y/rR9fVDWUUkglmXlo8WV84sAdiHo/5WMP3YXUdVauWb2wvTx0iHwtwQpzHfc3HaEn8OiXq2lVAb5S2E4PI81HiAVRKmq1Xs9SFQ6mZlOYiQg/lbUxbH1Z+vE9JbGAZDoNLFZVQ+TDb+6ICL/6Uif8FxsSiRTDzdNkRqLlakvGIKPGySgN3W2iGgOrmH/BxlMqFnDw0aVCUzp24EMQdb0Kqx61sk88HT1AL/bGHQC1wgz9hkGPHqNsCFplhhgWyTBBTtehLq8wVSd8pZ5b56l7PvY7aOmD5HLdmIAUCiUDYulmAFa2tmCFLqW0uWjh62ch/Pj5nUtvLopFpDIWvlElJp5ZXsErzGDrGSrCxZCgKcmGjmOUe2zkRDeJWIYndh2nmj9O4fCnCSrfJWMVedubrkVIxZiWw5iLAqK6rtG3pYXB/bNPGYg2/BiOrDCi97NKXMbU7rsAmJ66e2Gfkf5Ignn1zp0Ln/Xf+RV6Exsx0HkwdT8bPZ/Dso8uCTOBQqAx0nSYpD4ObkhehMRcFwcXTWjMTkcvFyEELV3LU1PHAyxNI9XcDEBxIjJclFJ4tZCmjqjO4CVv4b8YEa62WFFrY2J8hJbWZny/ilKKTLWHchzs0gvnw68US7jCR5cSUypsz0HJACkUsuIvVNnCKSqPL2LC7z/+fYq6To/RgWtDt0oTUyaWijFnGIjqLE7FpzBdo21lJDL2XKyiGX8G3QwpTrajqygzR8kAM9UMgKZptNQKFJriBEpgKx1PF2eRSD7PTVByDk5YId2SJTQjopubnXrar1TGjhMzklSFi2nAZEcX4sghfu/9L6O6Ko6vv4qqr/DLX0eoMq98/fW8+99uZtM7foNsscyoNkfcW3yZrbqslUreZXb07IFwO0xQlSWCa1IkzSYe/fI3Ip138QiTcz1MV1uZLleIuS4t69cvfG9g7x5605uYtIoctA+wyfM5olbSJ2ymfQWETKT7iZkzaEWfnFsjWSzh4AJQzC367LNdyWWZi+8jsHSdVGuUEVWu6+n4boiSikTGwrT1l7YP/8WK3ss3AnDsib1kV/QSSEBVSdW6KcbECyqRXC2X61W2IXE/IObVFuQVZCWy8GPJaDWyHFw6R0cjq9Eb2wQC2uqErwmdgq5hunNM1/338+mEz/YhkYEHXVWUEsihgKCu03Iq4QN0Bi6FVBNCi2MogRIC77RU2/O9WjJLglpQJtHSgZaMLOyZ4ZNP+53K5ACWkSYQkieb+smv20D2+DE0TeN3/uA6gk3b0a1tGIlX8M6PfIJrf/VP0AyLE4eP0jUxxawoYYnFx7RvWzSfA09RhJVQKWqUueZNb8JVDpnSJgafuBUjPsuXD7+dDz7y2xRUjA5YKIQsHHuCkUmNLns1+7PjKAFdvkGZOH1amqlAktBqaCJAMwuIokfXHfuIOzX8upvo1Bd6tjtBOecuyWxZDvB1jV3pLH83Fs1tuV6rMy+rYMUN4mmzYeG/2ODkcqzfuIW8UcI7XqRlVUT+Kpwj5XSSiwtiL6BEslOuRkqZQUC66hJzKwuiX8oJI+G0ukvHsHR0Q3tRV9sOFaK8+pGpqEtScxgnhokSgryuYfl5JgejFdSq7W3As18GF449TqLXpVRqJVmYpiSiPFopA6x0y8J+vZrBZKoTRBy9bthXZpamLNpxA8T5I/y4a1MLyyRau7GbohdRYWjoab9TmR5DWNFvGE/MUVmdpn12mpnpGTRN492/cAVm8o1c/1PvoqevY+F7x+65j+z0BAhQp2R/Jpts2vvST1l1myCFI8okEikG2kdZmdzEnlv+DaUgX8mwNpikRooVrdF1CWplvvWR99Od3IQmdHalBgAw3HZSwsVSKSoSWg1JNhAERoXtR49w5T0HMDyfoM4gQW0x9TXbNa+ps7ysfF/XmUg3c3dzFCOq1OU65l9cdtwgnrYahP9iQnV2lo/8w8f4hz/6Ix4O91CeqjAx6aF0nVBOk3TbmUsI7Jr7grUx8ytuXTjNI12tEfcqC3o6ylM41UWXDpyp8ijDkNv+/qOUJy5Av9jngRFvjlQoaSEkpkym7BFsZRFqkqKmEQ9KTA0Uae5M0Nz51JkNY7v3nHENJvY9SCpbpDbbwaqWkLKKyFKFPmZqUfNldSJOIR5HaHH0euHXGRLJ2vmVSE4HqYjwO3rJdEQvn9rU0zfEKEyMoYzo5VC08gy0REHPo4/vAaBaV5bsWdW05Hveo48hVDQ3gaEonZLXvuqyVib7C0v6IAMEQUBMS+LpkTHT9potmJqNmlhL/8Q6fsv4Kn9t/RcAfZsjJdm7P/QeJks6HV3bmIjNctgcJCEls95qsngcq0b35UozRiY0qRLwO3d9lkJzCjIZfEOgUKhTLu+8pk5ucvn48b1KBanrlGJxCskMQkqq1Wj882mwVp3wl3O17SVH+DIIuC6ToVXXyYkau81hbh2YoLzxSoorijTrFSoxgaYUpbMIbl0IBDUPBx8VeCSdEpqsIuS8aQSoSFZhHqdLAgw/8ggPlYo8/o1vvCDjfSb0h4puXyNm+bTJDMX8IYxQEWiSktKIUWV6IEfHqjSxhIkQUC0uJfyhhx/mUzd/k+O337702EN70DSJXetjxbatVIleGEIp9NhiVsyG5jSVmBZJJM83QTmLXMb5kqrwfJekSlILSiS61tCxei0AwTNIAecmJgn1KA7hGzUeSUbKmTN79wJQzkU+8PluZxCl8Xbt20Npw+ZIc8kIGBxZvFdXb29DKRg6uPQFNzM1hiY0pB0dc/uV1zCrz9EXv5yTe/t4lbaXadEGRAqZBz77QZ48WmDrpsvo8/oobJC4apyNns9BfzNvLGbJBdDWWqXdTJL0ba56RGdlaZr/ecfrsBJJpCYIkIhgkUoS9dXP6S+kFzPmu105VgyEQCGo1qUW5qtsrbhBouHSeXEh1dnJm373d3j3hz7EL/72+/hZ51VcneygeWoAzXfR7RyVeOQvz82+MKmZYdEhFBIVBsSdInNdFiKcD0ZGlyCeWiyAsRPmEpXHYr37ztzs01uTLwS+8Z0jjBmK3koLruHQKlMMTg+i10lXKBtXgCzN0LEqg9AEsbR1hg9/ur8fgLnTdJeKRvRb1/S8gqoAN4zmRTstrXNTRxsVW4CIwbwmfvHMQPz56i8wOz2FhkYtLGE1ddCyZguB9NBqT/8IleeK+PUanpd1ddGvB0y1tiAPHoq211sXnkr4R/bup6lcInn9y0iEBo4RMDq2SPgdq9LE0+YZ7famT0TZN3r9vajrOtMrx+mMraJrwqeZMsOqmyaKlPp3cft37mdla4o1wWsYTk2x4eqXUxazbCllaS/cQCo0uS6p03FlNL+rR0xeswseX72BXd3bSGSi9EUPHz1cVBG16t3GlhXh1yvvvXrBVdWyqdX1dE536TglH/Uilz55KlxyhH8q2to6mU7maA7aWBcrEstHZOLa0ZKzdJamGRcCYSmyuDSpE/MKTPQ0o9elFmRdE3+JSye51Cot1Yk+X3l+EgXPBXsefowHvnPbWbcdPDTJHz+4m6Iu6M5vBwGm66HEYhDaCq3IraPl6VgdFfaczSoq1a3xannpbzLai1Srabbe+GYq5SlctWjhn4rN3V0gFEozEDKaq9pTSCSfDwt/rl5l64siQtOIt/bghBVMb5GonYrPQ984QeAv+rPdmk5V+OhK430v+wAAIz022RNRk/DCdIXXZDSeePC+he/03/tA9Btf80oSgaCie0yfIpomNEF7X5rZsaVzVxiN8sZjzbHFD1tPIoRgvb2eY6VW+kUvfXKUb338o8QMQW/329HQ6P25K9l7aB/NlRU09/8RQumczPTTZkja1/eiQp+b7iowl4b9V3ZSKCdoaoviAI7w0dViZaoQgljy/EtTX0jU6gH/cCYge2yOfDJNtW7EzBsM8y4dKdWC1b/ccEkTPkBlpWRloYNMeydhEBFvaEX+0srcC1RtWw9oCWlQswUzbW3oYTT1YT3j7kwf/uINVSrkASi8ADGHfR//KP2f/wzF06Qn9g+N8sNf20MiMQCA5UZNr93KJDe/+p0QRIRuhzZ5XSOpFxZSMs8W6CrXybl6iu64V8yRas1Rnmsj1tyM8AsEqk6oEmpTiwHSuGXT7FUIDBPqmvi16pk+4/OlmFmq58IrLRq30DRqqoIdJhb2OfroBE/cNri0UYmMUjKFEqxuvYINiTgn24t0TE8xOzNLbTxHk6ZTPLQYnwkfe5TJji761qwi7vmUhMvMyNKAdHNngvxkdUk+vjsTXbOmzrbFY8UeYio+ytr0du4tbSbEZC4PJddk7ZU/Ql+lm5kbYeWqtTz+5ABvO/A+NOHx+ZRHSi9RFEU6ulfgHb6FloLHv75ZI5Oeolqyae2Ouna5IsBQS3WFYklzWVn4Tv1+XD0dsnHIpWLHKerRS8xbcOnoxOsFZ8vVrXPJE377tpUY6ATxVYi6drrSo6VoeWruBem/qfzoHHqoMdbayVRrD6aM2vaFUfntGS6dU0mqUk8hLZnmBQ00SykZW7GW4xs28q1PfHDJtv/99YOoSsC2zkg0zUZgK4O5phzXtySQ9ZdpPIiT1zSa0wXMurrl2QJdlbr2eO2UVpOH7/sypuUj56LUw7gsI+vdlJRSPPGfS8fUUnVxYhYydBEKamfJvLLj58fSrNWrbA3L4Wsf+AC7Pv95apSJq8W4wtDBaCVWml38TYZooiJcUNFL/9UrruVQezTOY0/swahLIcTmorkKgoDuA/vIXX5FNP7QJRQSfWJp+me2M0HgSSp5d+EzWQpx8Ln3gUN8+g//kC/83z9mfDbLvWqcqmVSszYAkCvAa7sTbJneyuG+UW54wxv43Bf20zKxmkJsmraez5HXFZ0ISlaJkWMDeMe+z8k1vexdqxG3p/CKGqm26Do5ysNkqfbMhehFcCHh1FfPP+XF+IUghqObuOYi4QtNYNo68XR0PzYI/0WKLTuupKa5KL9twe2gi+ghLX3lEJ/8/+7i3377Xj77Jw9y4L7np+P/TKg/65g+jLSvYLh1FYYU6DJqgmIAsdTiA2MnDLxasCBHUKmTYmgY5AeXdlk6uWeaWz+177yM8/iRA9QSJghB9egsft1q//ydexia9OhtMuiOH6O9ksEzazSHCX7uD/6IP3zTG5F+RGJZr4W8rpNOLK6ezpa7XPGivx1/8fOTA5FbIyW3sPfuYZrDAqpOJCYBe/aMcvCRe3HrzSlaKlBINRFIDwtjyctjHvPEc64v9rDoEqoQTI39SrFv/35crUpCRKuY0JeMHol+8zzhS8/FNDJUhQsqIr+3bvol+jujZd3Uk/to8qNHsL3chJSSA7v2kKpVSdfbDsaMeg64v9R909Q5nwmzuELSagbDTDKTTFJWin6pGBi4ijwFvmXvYq49C1LimG10xH6Okj7Fy37hLTz+5CS5eyfJx8d5fNNHGdVbsAloETbVmEPuz/4MmWhmbFs0Jk0vgKuYf9fUcDBOI/xYylxQgV0OcOuuxVYM2hAYZR8hBF61ilcLoriEEAuGWbW4fH7bqbjkCd+ybUZbZmgtdSz6mYkeFr1P4+o3r2bjtV34bkj/k+e3hdw8ZN1fH/MkE+0d5NuTGKGsa+L7xGIahrkY9Jqvtp1fSlaCAFEn/+mjR5cce3D/LCeemD4vcrR3f/1zIAClmOru4ZOf/Q2CIOCvHp5EaIJP/cQVjPhlXnlkJWXdJ1lziWU7iMdiBH5EclmvmZywiBuLAfF42sJ3QgJv0bc97x91TpE1DpJjeJ6N0F/HrbedpM3PMX+LZsw23tL3u2S+IXj8b79NPjdLS9kkl25dkFc4vWkFRPEQGSiCc2wALkohTlgmp6K4RElKfLNGTCTwfZ/xkwUCLzpHsU74lfHj2EaKGh52vUBpbdtVtLfEmGo2UAcOkhU6EkVSxpkYH2Ho/sh/v/01rwIg2VUXONOXSjxn64RfOIXwLT/GlMghpOL/+5M/4dqrh9hx+W2sDg5zk29ytb8Wr3CMqzrfREiCJvkZvvuJQ9z+mYNI4L71/8W6sMSRsI+UcEmJBOHAYVaMjZC74cfI6h0YElytBih21+UTaspd6Ho1j1jCWFaE79Qig6VFmbShYVWj522ifwDXCbDqMh3z9TINC//FjLUJ2r0saaMTQoUt4wS6QjYFXPe2tbzqXRtp70tfsIsY1gOzcSdgorUN26qgyxBNSjwC4rGlOjCnV9tWgWzdqp0ZHlmyb6UQmVn581DkUhyPzmHmpvFjAv/OHL/1L/9BrRjw6h6bres7masK+qpdSKGImdF8PfD99+PLKpYySAVJpkUCWywSfmJ+GXyKT7daFztzTrG8462zlPJtGHMeXS2SprCCrO9naYKj4aPsyd1Od6WVIx+/h/aKRjHVjFe38N3wbJr4dXmFcyxkM8uCalBiph7/KRkGKhZ1eZoePsnwwVm0ejB13sKvTvSjW0kQLFGmfNWKq+jvDGk5eoiULhhKRiuD0f4B2PUYYyt66erpBqBnx0ZsZRCYS39bstnGsLQlFn5cJpkTZTKugxazILaHQ2M7eL3+GEFihCvDNdzQ+lquCLN8L3EPK+x7qYwNkKophBYwkZxko+dxwF1NWrgkAmjfdS/Hd1yJs3klGa2JptBkWhe0k2fvjIeQEgfvDMK3k8ujVec83Fp0zWIYZBCETvQM3nnwIF4tXHgm59OnG4T/IsbqK7YA0J3cgghDTGlTi4E6pRQ/kbbOyBU/HwjDEF9T6BISrku1zSLjSYQIoiYoIsCKLf3O6ZIANcOgKx5HSLmQLTKPeR9u7jy0vpN6EmTIK9c2gVK4TVl6HrqFHd5BPvmLL2emNMTGQ23EUhEZbX7dDcxODuBb3yIURWLKJB7GmdVtrPBUC3/pQyKlxDHrRFxvNDE7PkgsWcGZbqKnpjGaLEQlCnXCb2nPc8XPXMWR/OMcS/2AtloTr3CgkIrhSw9bmThn6qctzmXt3KzNZM1mihxOPIHtePimibKjl9XUiUMMHZyja10Trb0pSrORtZgbPgn1oqtNvWsXjvXWTe/mZJegbW4G5VWRm6OYUmFgkp5D+ylecdXCvmsuu5ommcAzgiXFV0KIhcDtPBIqRUF3aDMMBg/fj2Y6TM+20itm+FpvK3N6gSuqm7krfYiPr7yZryZaqfo2NQNK7aMoAStCk2G3jZRwaT6xm3i1xIpffx9kdJppIhHEmDAMViWmOVaWWJ6HKzwMcZpLJ2niuyFhcGETDe7/8K/x9V8/9/4bruuiAL1OiVUZPZS7Z4u4VR8rFv0+TdeIJc1lq6fzkiD8vtXryOkVOmOrEKGHIQ3KMYFRWOp2qJXO3dd7OkqlPK4I0CXE3Rphk6I11BCajwgDPAIMc+k5T7VKvUoF3zTJpFIkXY/8aWmMlXrQ71zL2IPQw7cNNKfG5T/84zSXJUHzSoRm8urRe/j277yDr3zwb+mbSiATGUypsf21r+XJx/4eISSIOWKYmNIkr+vY/uLLdD7QNf9CrU5PI3UdISVuvShp373/DYCZb6FF6EzF8uR0DSlAU5CI27Rf+Xq6M5KZwT2UfzzF2pqiEtfwFVETFEPndJgxnXtiPv/8tf3nND8ZP8WwmUdIyUMiylCirtCZH5hiZrjMyq0tZFpjVAoeoS+ZGRpEGdG17Fy12Pd5U8cNTPdG6aZBfpD1125j1irAgVHirktz3X8PkOxYRUpa1AyPgeGlWkGnEr6UEkPYOLqko6WV0ZE7UVKj14vclHc3d/DV1h9wLD7NBzZsJqhu4Fb3nSiZ4oq399J+U1QXIPUepNJpCUskjj7AwNYdXP3KG7CyCRLY2EGSCUNnVWyGYUfHCqK+DqZmUq4svpBi8418LrBbZ3x4jLGZcz+H63mEwkDUV+MGEeEP6SZeLVxw6UA9JrUMO3rBS4TwNU1j1pZ02K1ogYemBMU4WMVTSCljEQYSzzm//SoXpZElCaeMnpCsTDQjdT9qgiICjNOW6/NWqVP1KdbbR6YyGZqAvL+4TA5DuWA1589Rf/yBw9/DtwWG65BZdxWprpVIwyee/lH2b80xnpPU+vvRU20U9RqZWsjs5EnC2G2Mj69HGGVsaSKUoGBCPFzMiV/MbIgezEK92CrtuvimSeh5zFV2EYY6GXNLFCyz8szqOlIoNCWwYtEDuGbTasYLgg09HewvhCgzIEDDVia+dibh3/zQAI/GAj47MUfwPK3NSrlETNlMxjyytRqjRBa5qj8+tbHomvRtbSHdGo2zNOdQnJgkMKJ9mvv6lhyz94qtAIyXj/DZ40cYbKqRPRFd68tufOXCfsIwiAcCTwsYPD6+5BjNnQlKsw6hLykWchS0yC3RvXYNjv8wMzMbuEYc4qS+gtAd45std9H07k2UsynsgV/g8rHXcrTtMe6f/FWOzB0mJSVTerQSefnJPWhehZb3/n8ApNqaiSsLI8wwreusNCYpBRrafF9bYTIztxg0t5PRi+5CE361FuBKHS//9KqlzwQ38FGnrFLS9TTTcixOzvMWpLZh0ThcjrjkCX/m6FF+8LF/ZNgZwdQM4lgIAcW4wC6d6tKpux3Os1unXIqkkUUY4hqKdt+j57ggtH1UGGniC7HU13lqp6ZCvQlDurWVpniM0ilWbK3oRU1VBMydo4V/7y0Pgi5IOA5BoPh4eQVKQjVTo7V8DYM3NjHbHqO76QbmRJmUX+HJx/4GFMwMXgkGGAoUkqIhiVMl9CICSGSWprIVx6Oc83T9AStPTmI0j1MutmDTy7gFGXLM6DqhUGhKYcYji3jNK94MCPrv+DK5QGGKMoHSsOtNUE5NW334kRE+fmISZWn4UvH4E4vN1Z8LpqcmmBB5fB0SmRVU7GlgocAXUbSIp03aV6bJzBP+rEMxV8TTQShBesWKJce8bNWPMZ2BveIQ/6Bl+E5bgtT4CUb61tDW3rZkX7secJ4+emZqplKQn64yMz3JrBat/r53l0FxdD2HRrZwnXaYO5uvJVk9RovbyppqkWZZ4PWeTah0mtq+wv94c9w51c9Gz+OIvho7cNl55EmCjk1c97pXA9Dc2YaFQdxPEApBqxbNZYiJLwIMzWJmKr8wtljy/MROngmVeqZQafjIuR0nlIhTMo060FEKYr7HkYQ6zcJfvgJqlyThzx4/zh3/9E/88+//AZ/4whd4IJ/jhOkRokiLDEIoyjGInVKoE6+T0nPRbZ+enOb44aNPu081n6tLIyty6TgrKxobc524CVChhxIKlLvkO6d2aipOR+SS6eikJZvFs6wFEbVKXcelfWWa0kxtSYXnc4UYj0ilLenwm//6nxRcQV5P4tkTrC68nvu0fh68bJROvYtQSNpXNkPyLsbHN3B9dSealoj0dERITouSfaozUaGUaesYlrZI+HVVy1wQuUZmhwdJZOYoz2ToLLXyWEKjw5tlRlhIIREKrFiUldJ5zZtJGAEndj8BQEI6+MrAUpFa580f+XtCz2NyvMT7vrmPhKHhXduOAr6za/h5zU1+ZpYT+iRCKsqtV6L3fhZfhMxWfHzpYXk2vZtbEJog3Rq9mIqzNXzXpCJczFDjlq89yt///Tf5/u4neevXv8d7pldxojvOxuFRmisFBk2BnD1BddOWM85v1TOgyqfFb5oXMnVq5IaHmBMljECS9BJMPfmTpId2omScOzuvw1FDdBU0vvCXH+Cq/jxrXJPH4x7vzl7HL+ULBAg2uVHTk7f2P0DcdSnuePXCuTo7VyAQNPnR70uoCUBR0eJ4WoipWeSnFl2ksRfAwg/dGrWgbjSMnTinY1VhofdCQMhKI8RXGkmnxvFWEyu+aGgl0uay7Xp1yRH+5P79fPxzn+O+uTkCAden06zZ8Uo+f+0NHEpDq94KAsoJk1h1cQm6YIU+Bwv/gQ/8JdO/8AtPWwzljvRH0sihYrIty5ZclpSbotJkIsN6EDNcmj9umBqaIXCrwYKsQmZFN63dUbB06khkzcxn6PRuyqIUFKaen+SzlBJdWKAU4cYZvjfZBW0m79i6BqmDF6/w8pNvQg+bCMzoHLXsAaTSCU5cRRspdJrRwhApFNW6peTMLhLsqcvgUr2fsB5EhHVs/92gKWYLfTzZ0szNfRYd3ixTYTMBIZoCMxHVTgjDYHVvhqHxEkpJOkLwdAOr/rA+6Vb4hz/7K37xE3dRVJLUJh2R0FBNJvdMPr+mN8WpGfr1KeKVMoeqVTSzQsWoMO0FOLJCTBj0bY3UM5NNFpomKM066GSo4mCFgo88OcrHZ01+fibkyVQrrxk6iZ3po3vOY1tpgNjsJMgAY+WqM84vVAWhBL67NH7T3LGoSlkdm2JWK2N7AIqW7d8g7rXwpdmPMVdsx9ccWqclTmhz5aEEszF40JKYO/8Xv5kr8omJWX41X2So1spPHLubya4unPVdC+dKJtOU9ApZL7oOejhLPBYypyfxhcLUbIrTi2nN9gvgw69NDiz8vzTx/F7m83A0gal0ikgKZpkOI6CCRXsxz0CHiR1fzEKKZyzcSkAYvjBqu+cTlxzht2/dyqvb2vm1H/1RfvMjH2HfVTv540wzulSMxqfI6tGDWUnEsL0Az41I9/lU0LUc20WoawwcPvSU+4iJMTwRQKiYam1ly9xKBIJyawpRv2FUsNTCj3rbRtW25XpnrqaeHtrXRPrz0wNR8dV8hk7P5kg2+PkGbo9PP05ogua6fNF9E1Jp3LTldsyWUWKOi9KOsGH2Bt44+UPktBJaqGjue4yJ4U3s9K9ncMUsptYM9ToHQh0JeGcQfjS3lXIZIRV6EFmL/xpbwf/iM3xk5/v43avi7O0yWFucoexlIiVGKTHjqYVjrblqJ26oo8IJevUUrhknEUYEs8nL8KC2joOhzivMYU72tPMaeQeyLcaQGzA3+9znKHegH1f4JEuTHHMiV0bVLFMwQ2qyhq2ZrKwTvqZrpFpsirMOltZMRbhYIUyIGEi48snj/NL932HT4H4m671TO/d/jy39x1FCYGRazjh/aLqkVQxpLHWPWHGDRJNFfrKKO1MiLyoI38JMTeOmClzf8jdI3eOtu1q5fuBHaJ2NoceuJuGa3LbFRgo4NpVmLLmdV9cquHobb9zzIBmvyomtV6GalsZECrEKrX5z9H8tpLOpxIiWItBBInFO0aZ6ISz8ynj/wv/LM5PndKxAaNjKoCACKjGHrC5xlEmq5jDTpDMVltnz4Ofw3OoCVywn6Yh5XHKEr2kaN77vvWS3buFnvnkrf0+G1XM13vtglc5eg3i9g1ItHv2bq8uizufXPtvUTCkl+7a9jPtufC3DX/zIU+6n6hodmh9SbbWwggRHO0aptLWj1fV0ZHjmjROri36Vq1Vsz8OIxWjfvBmAuano5q4UXIQm6F4X5YbnT9MfV1KinoUUw7cevIPQBtupcWxmLWabyVuCYcp8nJ6UQzkdooTPDcWrmBYlUiqPlAbxsTeQlRnarl1NsmclzMsryBglTRAUFn3mpy6DK46DFmpo84JbQnGF/wS/cmCQjz+c5wN3lFlXnMbz4wQiRCiFlUwvHGv1634KgSL0+1mTyODEUqSD6PpNG4InZBs3Codsd5FfHPsmHzrycX5V3YwC7nrw6RuWnA0z+SKWMmgRecaIVicVowK6gSM9bN0k2bQoopZujVGcqWLVq2yF0FF1rm6rtfGnf/J+rpMr6YhdDUDnzBBXHjlAsX01Vtk44/wiJWlSSXzzTH94c0eUqePl3Loia4Z48wiD491cbT3G6PbdHG8/zBXjr6VD+3n02HU4DDO0up4d1T8HV78bgBNGL+/YfydHu3px23oxsvEl56olfZpUBlOKKFOnaYJKPf/eI8ArL95/pq2j6eKC+vAr0yMINDShU8qdm5JsqGnEpE5R83FjAZlQw8FArwdq7i0+wqzz5xx84ptnpBkf2rOXH/z3F8/tx7xAuOQIH2BgeobXfuce7mjq4q2lSd5zUGftyia6etuI16PvrlXvWDQbPcDz+bXPtrnB3ltvZbo5jWvqyONPEvpLrfTZ0TKeEzCfVGN4AUGzwbSVJ3lVB2G6jXrxJTI886GYF/2quC7xMOSRO/+JQHnEHZdcXQa4UvBINllYMYNUi32GhT/zoW0M/Nf/esbfMrlnGmWaxL0yoa+zMi557Q99mrCykfT2B1CaRlbto9MUzIoS6bZJpgavYFVhG7Nmgcuu3knrtpchg/lq2yYKmo4sLgqCnerSqfg+Egsho2vxtuAWfmzsZn5hNEFn2aMlEyeh5VB+jAAJUmImFxuExNp6aUtbSL+fDdlmqvEUmgxJhBoFNc5nrb/lk/b7+PupD/LXxz/GypkC/2fqi+iG5J7D0884H6fCLRYZN316/AzCjhGaUaC/JkJ0oVGRkpi2tJAi3RKjMJXDNFMEQjKnRfdaSybPQ5UqszmH9f4qVqoryCcN1ozl2dJ/nCPrNtFcTJ4xhmRnimaVwDN95GnFZc1dCfKTNdx631sj6MTKjJKqRQT4YNvlPLn28zzW9QWE1oRAYBTvZJU+hB5THJgo0f3Kn2PCXsPwQBvNboWHL99GTJkk25Y2ZQnTghQpkkGMScOg28ph1KvIXRFAdfEZEEJgJ02c86SnUx0/s5VkZWacK1pu5NXdP0m5eG5KskoIEsqgogWEScj4McwQ0BQxV3IoVU8pLo8uegPq8gqHP/kpOv7mrwnPUvj3YsMlR/h7h4Z5w6OHGU5l+VO9ysdf91pKEzU6V2eozRWIqehiCSOyGEunNM2IZ5599H3PXQ8v/L+k+hi59Z8W/i7O1PjKBx9j922DuGFEBpYbYKZsZrsrrL9sO6bIotWlMqU60wqfd+lUQ4mlB5T5R3Y/9M9klCRf16Gp5t2FZhMtpzWOLo0eoT0Yo2vwFgLn6VM2U3PRbeDa0Tguz4Q8cf9D6KM/w6a9v0lWJil02tS0KqEmsVsKbOj6Zbo0g5mUQNd1TGsloRf595uDJiZ1G1FZJNd5l45SijlNQygLoXRQgsCL40+1Elcx8sog2aSTEEUsL0VIiFASK7mUfLpWrUOFU3SGBarxOJ5yaQ5ssnqNbfogx5uv4jc2/REfuvbt7LbeRFNQ4bKmYR6cKz0nAbq9t9xCoEGXa1PTM2hmDg2w/cj1ktdcYnqCanHxPkq3xsmVB9HqFXUjVpy3ag/y8dRHSVLhK9/aS1zZ5ANFPhnj6uMKQ4bs2riBdq+ZcnlprKF9ZTdNKoESisE9B5dsy3YmcCo+NSHQlMAIs1hNY2xV/UyIFmwMpkUR5R1i68GPcv1jf83rn3iU3/+Xf+O6mUMcKZTRTZvk++5j3aMDPN6xkVJXhpgyyXYszRbSm22SJLDDFOO6TqeXY7NZv3fwwV1quMSSJu55cHucuPlf+OT/+XXGH/jmks+ruVkyVhtZq2tJUdpzRVCrIQSkVdR7QKRN0mGSrJQYmmLtTJEj8bUooJg7vFA5Pr9iNYenceLdzEw9N2PiYuCSI/yNXV1c5pX4Yl8z733VDUzVe6t2rskQHiwRo947tt4lonqK3zGRMZ9V0HZmZJjRhEm3XxfOslZi7/7UgqW+545hpFTkThzGITpPzPFo0RMkN7bR2tpBytfR6kVeZ2umMK/jXtMEpl3X1PF/QJMV6c1D5NJJNkU3X3NXgtxkdeFY+QN3ABCnxthdn37K3zJdHsBU0fH2xlfzF0aR392Xpu+OGJsH22l1ZtmmxpnSChw9/p/Rbyl1UXMqaEIwPp7AKfvMjjooNyL8Ji/DsJ1Bqy0G8eJpExkqvFpA2bLRAxNNBghp4BWayeTWIpHMVjVSsTKakMSDyEJGyiUNzAE6tr4GgLm9t+LHdXzp0hImmFEtJH5zNx9f+z6+1vkG1ntV5kqvI0Rwo7mHGaU4ePDZP5j7DxwgLg0STkieDMLM02LorDSieMqMFVn8E0f2LHwn0xrDU8eR9SrbITvB+8xv8vK549wZ+x1KA1G/gTm/jKuZaAoCDe7bGB1z4PixJWNo7V1DWkbHOrp7KeHPB25LekgyNNCEQU4LeJl2kLtTV7M1dRwEvOyQpHtmlNplOznR3cqKkSn+9Pb/4G++8+d87Td/n9s/8CGaKyU+v+mHSGoeMSy6VvQuOVesJUVcWcSCBBOmSa8zxc7eSDLCFT6Gv/Q+jjTxz43wlZQ8+K1vAYJjd39rybZKIY+lxzGFieMlzn6AZ4H5TmkpDHrkCTLTkRhhV13faq2zn1nRzrC/CleOLXHpSCmpWTvYs+PXGRt47u7CFxqXHOHHLJOv/9ibeeWmSAp2sr8IAhKtir65DoQSaBKMumKmU+90A/Myvs9M+Hf/+1fwRUjbmMJWBtVMluFaibG7/h2n7HPogch3rU/tx6v3ZBVSsb6cYPOVVwCQ8ny0ei/Wea2dU2EnIrXBmmFg1FvWGYkx4imBY9s4+TyVvEeyOSKCbFeSwA0p1wO5weDDBOgURQZj7xee8rd8e9e3kKaP5vvslZt4bdCMpu0hSP8tQdfHKPU9gRaWAcXhTRvQVMib3vnXxA9LRhIzFFzF47cNMjVYJPSqaEqQDlIMW2kM91TFzOjFdKx/HIHCDCyaigNoysArZ+gNLmM0OUPVkcT1aXwgFSYICEGGmOmlwcxE3zUgkowffZLQ1vClS5vMgBAM7Xqce6wYl/Ekl6/5RdpvvI7xeJbXeo8DcOdji6qoo088gVc5+wqoMjXFsGGwRnbihBWmaMayZuiIxbl+9WsAmLWj3zg7tBhATLfGUOE4st49KQwDNokRTjZdRsU0+SPjn0iYH8L3n6RYjyUdWwFF/RHyJswOLS2wSq1Yg10n08nRpcHJhdRM3SHhC5QIKM9ZNIsK97TvxNIOYXqKnSfKBK2rWd31FvTr1vHg/97MH/zcb/NEx0Y23PE9Nn/7m+xavZVDratJCQ9DKVKpzJJzZdpbiGORCBLMaoJeZ5T1myKJZJeA00MMkSb+ufnwB2/7D6ZKOoYI6T+xVM22Uipj69HvN0QLfiX/vM7h1CVWYhisl4fZPhuptnYnI8JvVtEL+ElvJ8LOY8UNNF1QK/mMj4xSS/YQmAnGj46c/QQvIlxyhH86JgeKZDsTHN6zCwuTqvCxlIZe18rwTtPTeSYLf3ZmirFA0uTrTAaQkQnyqQR7K01Yj3ycfXcPE3iSjdd10hwcR9ZTFF3DpLkC2ZZomdxsWwhNocnFJiinwk4YOK5LaBjo8Sqh24SSGjIV5WKPHziMU/EXgoXz6onzImqxmf3cnmlnf9/LWFE7QmFg71l/z6Fdg4S2QaJS4Ve0ASDF4GZY/f5bWP1/vgvX/Q0H596JKVwC0ySlykzMztJbace5TGfzdV3su2uE3EQV6VeJYRILY0yYCfRg0TUxvwz+9O49aICmEhjuAFpo4HtxOvVeKh3RRNhMM6frJIIkIRKlQqzTCD/0Fbq5hrHpMsoW+NKlVUTZSl/Y+20KZozrqnvZcNkPsfllWxjTu7isepx1do77hiL/9tiePXz65pv5h7/8K+795L8SnCavvOfmm5G6zvqwm1pYYkSm0cwc5kgIA/fiipCiFb0sypOLQcN0awwR5Ajq0gvb3eMApF7759y17nI+4r+LjPYYP7viH+nuLhEKwfGVLSSK3+ah5jz+aVXT8fY+VOBEaYOndT3LtMUQhocjfGKeQEvN0lJ0kAgmY2s4MjfIjz2kkfAC0pt/POpGtWI7sYrH8atW8ZGdP8vd7/sXBv/w/Xz0xp9B10NMCYIz/dHtnd3ElUU8iKOEIOVNULaj+88VPqZcmtVjJ89dE//hm79B2gq4/roNzFQMiiefXNhWqNQYMHM8ZBwhaWQoDx1+XueYb29oKoMUU+giupZZI3qWKpU4abfEYbEFM1ZCKbXgouzfd4RyMkqXnjt5bplCLwQuacJXSjHZX6RzTQZ3f445s0hRq2ErE73uyw9Os/A9J3zaAqaH/uMbzOkVVgwexwkPE/NDCpaklDNp84eZuudbrNreyoZrOmkz+gkRCAWllInRspj1sGndRpQBhhIET0H4UkQvHyNZBG8jsnI5ojUq9Bo7NgBAsnnRpQNRTrYMfJLeEO9vMflL+yg+MHfnP51xDgBrJEDacWynxFupofC47Md+fmH7ZH+RSvoEfn2l0iOaGHrwAL4I2PGql7HzLWsW9Id06WMrA0OaTGsmCXmKvELGRAp42JrvURvDF3n0ICQQJrrQiXdFed9mOMmsrmHLRD1oG6CfkpYJEHghmrkGT2qkqeLLkIyWRkmPk2qW1pH/zf7K/Xz8od9gsPIox53LAXh1ci97ai7lssvxhx8BIYgpyZ2TE3zsz/8vD/7HfxD6Pk7FZ/eJYVKOR7vKUAvKDGhJQr2GmLKYO/AYZXTqcvZ4pzQzTzXbxEOJowUYUueVYh9FkaBt+41sbHsN34pfza/5H2DOjfOGvmNYb2miuHIbqICbW76JPbv0hhCGgROWScsYNbXUYtZ0DTsZzbPuC6z0GNv9IZ401nNdazvjuTw37QoodK9Ha9+ALwKU2Y1fMdlgH0NYGkcKim1vvYkZo4lUvEIYmijjzGegta0DU2nEw+g+9lWFmVpkMLn4mCwl/HPtejVy95cYzQmuefkVrH/9OwDov+OrC9srrsGgPsNRfZy4kaE8ulh8pZTiidsGl4jLPRWq+cgwsTCwyTHQeRkAq/KRZT9T7GRbucBRewO65TB96MBCj4eBJ06itHqm0vSFb0F6rrikCb806+CUfVpW2KyabmdqZZGiWSGuLIQyqNgg86dY+AsSAGe/Sacmx8kXQwwJ2aE5VDiJ7rp4WkjPXJLH7GYuN77KlW/oo7UnhWn3EwqFKQW1Fo22batRQUDu0ENcc+XLCE3QpcITIY6ztGjKTphILSIRKzNLvn8As9BFsiVyF01PRP7xeQs/kbGw4ga5iSpzRx7ggK3hCcGIH/Lp9h7ahm9FBqd1nXLzJGoChMAKXWy5g/7UFKn0YoD00O5d1JLjbAOaajU2bt9G18kUA+2TtLS2k2mLs/3VPWi6wBQSU2poSqOIIC2rBG70wMXTFod7TGTd6tWkSSxmoZRHqEdNNJqykcCYEUwzo+tYRIFKQh+hLb1VA0+imX1oSJqKIwRKoguDtrkSGbmZbGobZRnyb8fv4dc/91vcqg0yZWe4TnsSH/jKVx5gaGQY25f8/B/+Pm/fsQMLxfeHhvinP/kTvvr3n2fG1mgSPQgEtbBMyYrI9rWJMbbEDuEGKfT51n7VRZJWQpIiQUW4CGXycm0/x80+NN0gnrmaazv2cqdczb+NvIwDiRtZlzzMj4QHCeM3Mqg9RtUrnxFYdmSRrErhWmcGnJUWWaTCswjjs+wQJ7mraSdX95Z488MBcU+h7fhhhjJTjKZnSMzFoGywgaMETRb7SlUmikVELaApXiIMDbT4mVaIruvULIekHxkXE4ZOfngXhl/XhDpDMdMg8OWSPgjPBY987fPEjYDLfuYPaNn2CprsgJP7T2n2E2YoCwdfhNhmmtLkog+9Vor6Cx96cPwsR16KqVxUIWwqHU0UsddcRUhIpm7kVNw0NzQ1UTWSDItVHN11b6SuW/JxBhdXseICqO2eb1xyhF8uzHDnt3+DH9zyCzxwz0+x6vV/xYz70wy95jcR6/+ETPMgCWIIoVOOgywsDSzCU+fi7/7yD+jXZ+h1XWbqpBjWLZysvpqvmZvptfdhlB9Ek9PM2iV8IdGlIMgabL38Sh7/1z/gP//vX1E68jBeTKBJhUdA6RRdH6hb+HpE0Fa8SmXO4MidR9GEwsRlrq6aOe/DF0KQ7UqQm6hSOXIPD9sxfuPmkLccSfGZlIarVRi/73NLznHXoZvRROTz3245hHSwq3OxonB87z5GxFGSrs6P/eEf8lsf+Qiyp5vmIE38yo6F/W748fW860+vxTQUhgSJoko90DwVFYnFUiaPbYjRXk8pbcbm+r53YOmKUJMMmUM45RBLVEjMPMy4bmPUayY0eeYLOPBDhLDpadWIjx/Dr68yWvNFmqsBP268jFt//GE+NLiNNz3ayfa9Gv8ienlFdQ8pfPYe9RiXGt1aJ0989252vP3tvO9DH+ItGzcBcEIOgIDmWlT5WgtKuLHI5bNdL3N56yiabxIPEnjSQfcXW1T2z+4mJbJUhYsSOl0ih2zaAUBuZI7XicgSPt60jvW/+q9MJLaywRigSd4AIs7n2r/L5ORS3R9XlMiqFIEJ1dN6MbuqQFLZBKGOqWbRheJYfD1Hj93JTbsUI50drIhvw99o4XQrusutJP0E6zmCypiMBCFD0wVELaQllkNKAyt7mmZ3HeWES3O92nbC0BGFk9hhUNfE15k5spdDX/gw9/zVL6FqEdk6zyMXf+LhbzEwrbh650bMdBahaaxZ3cbQpEdQKRJUitikKIvomig7Tml6kdxLdSG3wvQzV59P1mtlLAx0kcduW0VJr1Iyo6D1K7QD9ATR8z7AOiZmTyy4dLSyAOmDCtHdsyzVX2S45AhfCEGg34vUTqBEldDNYBTXEB9/GWHpBqzUBEkRB02jFAPjVMLPPHW17chwP8EkhEKSSJWZS0iEnkXVZYArrb0MOhWqKo5/10coHLmfUT0TZS9IgUjGMFTI4w8fQCE49N3P4yXNqAmKCKie5puNJY1FC9+qQcXCcQyqo1liiRLFepHTqQU/2a5EpJo5+jgcTvCKg4o33C7wleJvW1uQj39myTkefmAfoaXQgpAtqQ4kiuyGiMi9apUvf/6LgMarr30TRl2tMr9rhLJe5cobblg4jq5rZLuSGLaBHkoCQmpElujBo5HP9b5jxxnqMNlaF9jKimiuDUMHTXIiVyA89GV+uu19dDnHuFvfhKZHv01XZyF8L0Q3NNZu3YQ2U2AujB7sdqMbQ0lep3Xx1d94O0cPlNm+Lk2QDIg/meUhL8kbY4c5rBwqlkanbCZZT/HWdJ1rfvqn+MXf+RPS+U1s0DrJbq2/uMIagR0RQ3cQkNJ8euQkOhpz5LGCxSyRA1MPEjeyVISLQXQN17zh1wCQozV6pnewJjPIyZb12Nkugo0/TLMocX3+OKXmH2dP8gjfeeJTS3+vUaNJReeYPHBgybaq5tAq0zhKx1DRC7W7pRf7C48hFKhNbwFg4/VXkFnXgakMMole+uQgIqWhgMcOFRChoi02BwgSPa1nzDmAl5JkVBJLaUzoBklvBiHnCV/jA3/9ab578/3s2jfF9JPfBHhefvxHvvTv2HrAFb/wxwufrb3u1QRKZ+Ter1CdOIFuJZGinvhgWpTnFuMo5QXCf2aXzlxdYsVSBhpFzKZeXOVDIoWFyw5tAA59D00GjNNNWcwST5tUSy66yKC8PCqoYSj76U/0IsAlR/jJTCs/9OY9vPEt91M7/iGCkT9m5b5foeS+js1bf4PQzhNXFghBKWGeppi5VLf9VBz6xkMc0cdorzkEE0dxtSJGvI3m1kiaN5dtozOX4+G+6+ktP4m/67NM6k24RNk4ZiLOka/9I2XfIGEEHD44RCUbi5qg4FMrLw3U2QkTpXkIJTF0l66mV3DttRuZPmIRS5aomgGaIRY0SyDK1KkUPLyxI9z4gGAuYdNdzPEj+S18N5lgPDhMeWLRzylPOshYgnSpgKNdz/6M4PoN6wG45W//jnzcIl3YyMYbtgGR1PPq8XZG+nLY9pkWoJGIo4Uhvghx6o18D9dFrf750AnMQNJbqCFCRaYen8jW3QDx8n6uK32ICllmfvTLPKr3LfhGDXGmS8D3JIalsebVP4IZ+EypGoPVo3R0vhyAH3zrG0zkJW9+6w288UNf5N1//BfUYpJd/ZvZpu7nej16QaR9QW+lg5GRgYVjjx8vE3M6eeMv/RyEDhVVxtNNYsYsQinafYVSgq16RLzTIk/slGbmR2f3YdZbGzbLGYZEO60bdwLQNBujKNNcntjHaNjJ0cNTtL/yFwjReEP+IZzUa2kLOvnK9Pdxg1P61aYCmuuEP3Vy8Rq6pRIVU5KVCTzNIO3PUSDBBiPN9bvneGCzSXvLFoZTk/T0rmL9tuhamol2pGvTFY+SAPaMRQZEpzWDrjRa+paqey4goxMnTkpaDFkxWmSBmpL1JigawyteyUM/+m7+9Wd/l0fql+25yivMPHkXx8cDrrx8FXZ2Uc+n9zU/gSFCTj58L6XxfoS1+JL1DEGpsGg0zVv4xenaM/a4KNZbYypChAh5+OvfR1olTK8JIS0maONHCh/lqrlDjNNDmKxiJzT2+SWcRCeu5uApF2mkcM/SV/nFhEuO8OcRBpLpoTLpWJmYsmm/cjUdPZsJ7MJCLn4pbZM+pULvqSz8k8ePkJqIU9Qcrt6ymaAuUmb0bmX7y68mHZoU4xrrxhUProzhYbIq9wATWguO8NEDRXdHB7vuvI/WRMDLX3ctBUcnSCYgDPBEQK1yOuFHFr6heajpDVxWfQPT6VcSzyWxrRKerpHIGAixuIxs7kxgUqX8cEiowx++9icoGzHW3JugVYMPtzYz8YN/AKKGJ4mCIrQTdNWKSLWGuzo0NnV3sesLX2S/knR6WTJ6F03tUZBuz30PYCuL7us3nHXOtUwL1OMEuozmMu/kGZ6d48FUO1eNVgllANIgLaIVQHtQz/KQWb7tvZtHO/6NjiveSCjLoEfXyeTMBzbwQgxTo2XbK8hYAYFlsWfmDlLE0RSEdpKf/oPfYevPRhbiinXXEVu7Fc+QlPvjbNIqaEqjT+sB4NhDexaOPXJ4jnjapHVFEqMCVVnC0W1i5jgtUvGN2b/j7uBnucqOskLmtPJCM3OA/sl+NDtqbbiekzxpRPNVKOToclpx3FlWTQ4gkHz2B/eSaO1hMr6R65wnAZ3N4Y8wLir8+2PvX7w3syYZlQAFYyOLrovR3btBQCow0GIBK4IcJ/Qe7C9+DseC/Ws76aCJ6vroUW9pbWciNovtxnHdBBuMYyhT40Q9btVtzGBj0rGi56zX2MomiGOTCGOMmjYbgjGyuoFLgKHpDMo0j2RXUk6k2dMWxWSeK+E/+rl/xtRCrvrFP17yuZlspq/D5GT/FEPDu1Fm3aJWiqoWUKku3ifluegF5jnhMwaOK1LVZcZrVImzq+YiMqPobjPCT3IiXI2HyceP/zXrZifJ6nMMDp9kPJwkMFPEehLUCHDtZsZGnp8E9wuFS5bwZ0fLhIHErhQpGGW2X3UNsUSaqvAXqm0rCZtEbbEc3LR0TFtfKJmex8C3dnNIG8b2fK565zupyAxCa6bn2tew9jU/hu1LSobHugmLB+aOMtr9RgBKYcuCNPLmoMJ0Reea19zAhrf8ChoKqRkQ+ngEuOWlS88oaOtjWjVmx6OWd8nBGDf95p+hygEg0OzSku9kuxKsn/o2sXGTz7/GYChzBXetv4bLj+zmV1e/i2OWxd1z30VJyeNDP8D2HdB1OszIP3kwVWH60CFuO7Cf1mqNZnsnHasziHobQvaVmYzNseWyK8865yLbsSAE1xxEBCiFyz8+8gShYfBmx8IXIUoZpOudoNL1wJjS2vi/4krizUmcqk8sKBPWu2GZZ7lLA09iWHrdt9tKaBg4YZHDuQdpUWniVgtN217D124+wgd//x4+/IEHuKztreSvF2xvehUzWp6qr1Glghe6WAejl7hSipHDOXo3ZRGaIFazcMISeT2NMHL0uTazwRoGq9fRS1TAVRIOcS2F9KLfXh4qIOpk1KOPMsxqAE4cioqmirlB1GCKDU2D3DnrIqXE33ATbeS5KneQufg2tjur+O/jtzNXiXLPs21N6GjY0ma6uGgcjB2OXjoJX6CnqqxWk4zNtbJl926+eb3GBnEtAOuv37HwnXy7Q3e1E9dNsFE7jMyY+PWCvS5jlpg0aGlpP+s1nm+EEvOTjBsGq90JZtotPBFgCp2EL/mYytAzO85o2wqUCp6Tnk7+yGMcHqqxY2sX8Y4zlUPXbN9OwTU40r+PsF7nkK14lLQagb9YN1DKLVraz+THr6HQMRAUKakEGWsOIz2J6WcQysJQ8F7/N1jhTvFPB/6OHx/exZvGfpb3+XcBsNZ6Et2s4drNTLzIi68uWcKf7C+iAT2lNOO9BYz6zRFoKWL1zIpqzMZyfObmlgZuTy2+Gjh5jJ7JVob1WbYmE8jqHFUdNHM9V13ZRbkSR/eICrGcVsarHsVX/gguJprfEvkYpWT07u+TNAM2v/O3iXf00ZFNQ6VS18SHyvTSQJxhaUithhWr4pUjC3FjkCZoW0OLG+WkO+rWJd8pO7N0Hr2f4ysVt29Yz9q4yXdfdSN2GFD5tsUVms6/Z+Lsu+9f+MG99xLWm5AnYls5EVMk7ZCb/ztqNfj2n/l5chMOnaujh+jA3idYk+8mvyFAOy1jpnBsF499/Lcx2joJg+jhyoYp8iJGRpX5mpZkc36SLU1NBFqIkCYJPVo1xIliBr7VhBa/j13TBSYmy2T8ElKPzmOd2cgqsvDrG9bsfAWBmQJ0nugrkfUMiskU//RbdzP5vVGsckB63OXgSY0ViZ2sSm5lVpSxy2MMtA9iaiZ91R6mpyeYG69QLXr0bonmOO3GcfwKVT2BtIusKkcuhkqtB1/F0ZVPWYTYepx9+27GDaqYMwppREZFEwVaU1FKaL4/ytOezJ1AN9bwiiafUaeZB+/fTdsrfxGpBG+fuINjGYtfHv8JqlLx0Qd/C4Dmjm586ZEMYxRPWfFMjI9jKA3NdyFdpIM8zbuL5FIW37tGcJ28lrH4LKtWr1/4jr06QzZME9QSbLYOoprqgXpLYCCwJGdc43k0d7YRVxa2n8LF43st1/Ky0pN4IkTXdDrdGvfsn2FtLc9EWw8ynH1OFv5j//0PaEJxzbv/4Kzb19wYpWeOzhbwDQ1b6jQXShRFDZMsYV1GpDznkG6JjIlnInwfgYGOKQoURZqN60r49QpqQ9kYIuAhuY3fX/GfvOWKf+ZL2Rv4avgqHK8XlOR17qd5tXUPSjMZ2d8g/IuCyf4iXSmIKYuWKxb7iRp2F3ad8EMrhqZg9w/uXtieOE1PZ7x/kMPGGAq4/kd/lAPf+BQI0M0uVq5Is+f2IaQXvUxyKy+jbwrumL2T0Z/5Ck1uc3QeIRmchiuv2oBRzyfvWLeTRCG/IMdQG8ovGb8QAqlVseNVLL8TVyk0BI/94FFe9fY/BEBmRikcixqBSCl54k//HKFC/vEmg1plM7+2sYcTW9dysnkFXfffzh+86iO4QvAfxz5J5VABGYsjpKLT2MA93RZdlRJj8TjXd3YiEitQCjpXZ3Bdh+o3Bpm1Clz71tefMdd3fuIvuff+o3j7H0DWu1w1+2kmjTgd3hyOHeeXuluIpy0C3SehbIQQ5N0pknVXSC2eYlN1D1+ZnmRgpEDGKzNfx2PpZ96mgR/58AH6XvNOCC3s5l9HVn6Yot+CpwWsiRfoeUsf/+efbkS/MkuiFPLqwy9nSpsGAXZljoH7v4mbH0AIwYE772XkcPTi7d2UxXNdmoIUjlemqtt4lktHaVFu4Ji5nTbmmKeTh/d9n2PTj9Bc0gjrnclGVZZrr4tUMcW4x7QxgxPUSGZW8ROvegOaCPna4w+TbO9j3FjFD+UfZDydYLW3llekVvLtsYNMlk6S6lq1kItftbQFEbXpapWsTOCGDqY5S23WpHUiz/evM0g5MXr1LKW1Sy3s3i0R+UsnTbs2g11PN9XjkiC0MJ/G593ZuYI4JrG6rEitp52YdFACNKGxVgTcNVtiRzKOb9nMpkrPmvBLgwc4cCLP9g1ZUis3n3Wfpg1X0ZoIKLrgGZCUFlWrj6pwiRtNlOudr0pzDis2NCMEFKaePnAbCoGtDGLM4ZHAzO6mqCKtLVPaKF1ioSiVU+yKbeH/zvwq/xr8BLNyE5Y7x9iOX6EjFrlyZo+9uIuvLl3CHyjSHvMp6RUuu/rahc9T6Q2IegaJMOpW5pNL+6+eGrStTuY5oo/S43p0btvGgUceQSOBtCSVvMuRRyZINtWLnto7uWwmxr3jjzNuzNJUT1/zjRBDhOz42d9bOG7Thh8iPuMgg+jB1QpLHzIZhkgdLNNhhR8nHyhmlcQ7ppNZuQ5NSEiYfO9jf4oKAu7+6jfY+NjDjF4dMtkiCCsbeP0Nq1lVK3DH5TewYXaI4V02bw907jA1YnOC0E6SqflYwuTuThPGRok7Lq/85V9msj+ak47VGe7/yrfprrXh/VCGdGapiNnsvns5ORES0wNyJ4eQdT2dVJhiyjTocGdpKRf4mZ1XYdohaCGpevBxvNa/EE+RhmLdTIJCei8fvf0gGc9F1l1JtnWmZPCpFr6ZaaXTHUMIjXQ+wNWiuewwQ665XMfQ4LL8v9ISHqBbJdivzSGQdE73U7FMDs98n1AFmHurjBzOkWmPk2mLMz0dqX06QRnHECgB8dpKlHARKAbDK+gQc4R6dD9NTBY5NPUo2bKBp0WtDZ/Q1rPyiqiQpy2XpiCjY2ZXbmfL9u1sS03wQCGDW6vibriJPn+cDdUhjqU1Xmm9nhDBbUc/Q6JrNbWgTLOKIXWNuWPHkFIyZxi0qaZIpllMU5mwkUJwx1aPddU+hBD0Xbe0i9aq1esp6hU0J1q9dYcRWdlxn0DqmDy1uFwymUZTkkQ9K2lKr+BbUSprqAvadEkJRZaoh+94i3zWhL/rM3+DVIKdP/9bT7vfmnUrCEMNR5PYMoajRasuzU5RGj1O4IXUSj5NHXFS2dgzWvhSCGIYxMQMelsS3aoQ64pe0jYmCMFWQzJR8DEPF/ACk5dZx3HtZnS/QGLjK8lYkZdAzT2/JkQvFC5JwncqPsXJKt2ByWhPHtNczC1vbtmA0h00JRBadNP2zNmcPBlZBqcrZlYHpqkKj6su34FfnGWmpCPsjagml/33jqKk4g2/8jZi0qSaNNkw3cKJmsODw98nUQ9I+maNbRvbiXcsNrL2wziJWjfUrSnhL70UE0/cD0Kg9JAepVOWiglfclktzdTYLLo0cb0U5UyJB//xD4j/3d8y1tfH7TsD7NCiR3Zx/P/dytZiyHd/6EY8Tefkl77Kz13153T7AclKFRVLkFVpZnWPQxkNK3C5rncFmqaYHCiQbo0xOnGMtQdbObJilJ2veNUZc73rC/+MISQ/9f4/A0tDOfVCqyDGhGGxpjLB36xqQdd1CqPRHKdVLKqCrg2go6FJhRQ+q2Z7aGq7j31hjnTVRNUDu7Z9NsKXmNbinF2zQ+KVvoqa+wTB8NdAKeYoM/z3d/Bfv3wTjzwxxpaWbkrKYzr0iHuClx0tEfN8puUUujBYGaxm4vAMvfMNZeqtGKthGWVGv0s4fSgzR2jUyBWvookiiBCJRFUTHJx5kqzfRFXziCnBfn0DRizGxPgIWT9DuTiKYXbS3Bn5yN/Q3cq008K3vvM/dLz6l5HAW6bv5lBGozW3kowuuGfkPuLtfdTCEq31bKCJI0eZOXIE3zRpUSkc6ZMMS5QnYgz0dJJPweXuDnLCYd36pYSvaRqTLXlMN5L5WOceRzaZNLdU8EID4ywutFMRGv5CtW1OFmhe8zIgIs4mv0QCODpQw/RdRrOxZ+XDV0HAwSOTbFoZp2nDNU+7b991r0aXGlXNx5JxBHXfvRWnPDFAORfFUtItMZo64k9L+FJKdCWwlIEh8vixSYJqF+sufy1AlNEHbE2EHHJ99IkavWun6TALuLEsmubz4Ndv4xtu1Hje8p4+I2gek5Nj3P5vX6ZafWGrcy9Jwp8aLNJuCGxMslcsVfxrX7GF0KxgKwO06KYN/RIn743yxRNpC6fsI+tBLL8aWeC9O3bQf9t/o9DQzA10bl3L1GCR1t4UbWt7SYUGVVPSPRrt/83BRxaqMJVeYW09D3seTskjmd68IJsWKpboaR+87X8AqDjt2EJQDiHngY3g63fsQrjN1Cpp2je6VP/nPlKVEul3XMvDyRhmZSXXhIIV5VbeMNVEvqWFx9dczjVHHkZvfRW/OtaOUkWkadJuruCxVA0z8Gkq5dl9/618/r3vYOJkjo5VKaa/eoia5nLlz7zujHkuDx/mUH+JbRuytGy7gU1v/WHMUGEqnVgYZ8KI0RwWeMuOyMI9cPxeADIYVII8UoUIBFaoUFpAS60Tzx5HTx4nU4uj6pameZYU0FMtfICr3/1HvOkta3jtjVt4xbV9xKsVZqrHWRnbRHNmA9u27qRNdDK0yse1Cyi/h/07fpbAcClrOoEK0IRO1p9k5ebIf1+q90pwwhJGsogemrj+ChzTwTFnqVTaCE0JQlARLs1+E3dM7KdZZaniEFeKUT9SwBw8EklizBSnwFhHqu5f/tm3vRFL8/jmyTyp7vWMyG7eOn0Pe9MBxoxkZ8tK9hZm8JSLI0u0Ea2wBg88wYFbo3ukVaapKo/2Shln1mKoJ7rvrvW2M9XinNUfr3oskm6UerneP4F3fQcreyYJQxM79vSMLxOKeL1bWV5WSDZHL8hAh67iKK9pSnDXTJmu2QnG21qpld2nOxwQrRSd0GD1jivOut1zF49R29xHLLAIhcSQCfS6BHlgGpSmJyjXA7aplhhN7U9P+Pd+6lOYMsRERxcFZFOOtP2jtLV3IpEk6ivQDakABZgJDX2NSXMl4gctZjLstzKWagGZx5ZnGidnw77bHmDz8RU8cusdz2r/84XzQvi33normzZtYv369Xz4wx8+Y7vruvzkT/4k69ev57rrrmNgYOB8nPYpMdlfZIUlKOtVLtu5c8m2ppYVeHa5nosf3SjDsRk6jydxKyXiaQulFtuX+TLSwmldt45jjzyAhoZm9PCq17+a4oyzkLJo+4qS7pIqCHqFTlEqhIimV/MS+Oa6JeOoVXwyXZdF0gFAgE//iSML208OR77AUnEjAEWhyIWSmlKk5tJoYRzHTZGdLtA7V6K/K8uA+whzuk6uvIOXq+iBuGyuzHVHjzK9Msuxnja++oe/ydCBVmQsGne7aOahFp1stURzboRNfQlmKgaFiQfRq6P0lTrJv0anpfXMrI3dn/07QiW4+qd/HYBVP/QurFBiKR1DGoyLODFc/FqJI7fdRro1qnDKCpuiP4evPKQKsZSGEi7SaKWppmjqvJW0m0DW8+8N68ymIL4XLvjwAYxkhi0/9ftc+b/+mut/+xN0aDqzlk8hnOL/b++8A+S6qvv/ua9Pn9nZ3iWtyqrLVrEt22DJvVIMGPiFZmKSQAok/NKB5AcJpEICSSCQxCEECBCqMbiDccEF3NT7StvbzE5/7f7+eKNdrVVtaS3bms9f0sybN3fvvHfeueee8z2dyStodc/nQHyIdJOGQNIyuJfRuguoRFZhaxq7tKeR0qdF92hbnASgkg02AItuHi0xRV2pBYlKKASOlUEiyGuBl5wTJVJOnElXElbSFIWN8CUNJR3P8cntH8fDY9IeRtHmEU1V+xjUR7mi/gAPTXSzdcsAw9Zyeot7yRsDJLIhLuu6krKEB/b+NxVyxJQQiqdwYEKyva8MUgaSC0qFlqFxkLC7MUvYMWhzG4muaOZYNCzqIOKk8DyVhfowumNTJybwPJ1I7MRSwzJpoEmNkICMXyFcFxj8Cg661HlT+PtMIWkYKTFS38zUxNAJzwfQ/+R9ALSum9kjsisVHrn3Hn76yf9h4KOPcP83voPv+2ybeJyIDB58qm8hfB3VF1Q0QX58nNzEYQ/fJN4Qopx3qJSOXmUMPPUUdw2PYHhutegqS0kzWL72HWiaRk4tEa0WUy2IldkQtuiZ5zCktGIWgvtHi0bJGMF1GjGGUJUQ+SMecIVM5ZjaXIl9wYMk8bTAdeeuK9jzOW2D73ke73//+7nzzjvZunUrX/3qV9m6dbZm95e+9CVSqRS7d+/mgx/8IL//+8fegT9TDO/N0KwLDrVMYuizq98URaGkFQhhIpVguZaNVki5ce78wz8gFA2e0Ie1risKhF1AuuztL2DQiOZN0tKcYGqsRLy+ug+gOLjCY6RrGReVqpti1Rh0pLSK8f7ZefblvEM4EcarHuMJj/5tgUHMHdjCRFX/XJSCDedJdytWqMSo43NhVjAcjwbG5+thxtpS7G+IsYegiMYpLCZtFjCkjuGpfGqnRWxqnOFEEkQcTW8kVJXljbomD3SmqJ+a5Df+4d+49q++QUtdDNPZxoIhk131/Vyw+Wjv3s6M8PSz/SxqM0j1XhCcKxHDcDx0XyCkwjDB3BRG9nPX/T+mtRh4zGkRZsoZp6FhgqKbw0BDCptiuIlL8s3Yap6wPWPwFSN21PcfTss8Hq1NTRQjESZ230FjJUXKiZO4dj57f/GT4LcJH+C8yP8S0oKK4VJhG0IotFptjD0dZD+52QqudLH9Em5ilI5c4BFf/PpNeMokILFLQSFTRuao84JxGnrQy7aASpOrMzVeJNanMuoPYCguQm0keoR0wdtWt2GoDn/9vUdJnv9WAM4vP0bSTnJhyxvQheTe/T/E1QoIBLoXRgvVYUVbiPgGOiolJUd0uIinCn7RUWFRqYOSD0vXLz/m/CxcuhxLath2mFAM3nXHZ7mW7+G5OqnmY6dkHkZPhzClRhyNjHRRwsF9VBEOZRFj4+R/slQMU5iM4Go6+/3xE54PYGDnDsKaS3Lxeg4d3Mc9//ENdv2/++i42yReDHEwMcLCJ9Pc+6//w87+pzH0IIyjuCYCQchVKKkuU9k8+ckyDZpgxz/9mKmx4J6aep6X75bLfOu/v0pJN9F8Fx0NRWQpe+uJp5oAKGoOsWoLR1nO8/WPbGZJSmVSpJGVOgx7ioJSwas6bVhlXCPO448F3+m5Pl/9fz/nse/vm/Xde3fvoKWUZm+yn8ZKiid++pOTzs+Z4tTWHyfgscceo6enh/nz5wNwyy238N3vfpelS5dOH/Pd736Xj33sYwDcfPPNfOADH0BKOato6EwhpSS/ZwLDMrjL9fjXzz9y1DG/opQJEYGqwc/sfYJK98U0+Cu4438+g84V/NF/P0UpUmSDUsEs+/zNpz6J7qtE9KUo/kHe9bmH2eBJvr5tkM98fpTVigGUyNfX4+9wYNUOXAV0X6FkzOPeRw/xmbGZxhvr+svkIgp6VYLFFzDw3BhvGXqE1+75ErL6RqySwPF9SmN3ojfEGRDvpdNQWd3/HPuaNUZXJnCvAnW8gf3KHuqcKO2qR5dtcaiwk53uMJfENnJZ+6+xfWgX3b/8Al9bsYpmI0zEN+hTJihYzdRNZHjbvwd68UsTr+N6w0FKjy+HEvzLv/78qDm8bPe/UvFVHq+/hP+qzrGUkltcB82TOAqMysDgf/tzn2N++260icBAR4VJzh7j4fnX0nYoi2Ga+IpHIdxEtK8LGoYJOeEghi/hsUMOn33e77ix6HDntmH+6fPH7mXaM6ajG+CN7+F+awuFkMEDDy3gspFhwqkk/3DDO3nyiVt4rHAVQqr0D/WzvNPHUDR+9j/38O3nGnjdWJEWP4jdV8IZFh1qQQqbB//+4yRMFTdUxM8sh+STZMUUjTKG6klUI4orygzJOD1OiL/993v4tWIDT2R+iB5O4gjBx+7ZTvGhwN/SZT2b27/PnQc2wbMR/kjr5Nqxn7Iv+ga++18/p70+yiOje1glgxRWy48wroyg+h5JUR9UkhpZSiMGQ80pxhJTXDu8lEOuy5/+zy/hOPfZu5Q8lUoYzarQWBwkTBHP0/nvHWX+7hj3zWEWFqdIS4OEHWVAsfm3Bx8Agr62rhrCR/Ap45+4sfxRRM6hLwpv+ZeHjzsOgE0DU5SbV/Lvf/Q3vIa1LKSRX0T6eKR+gj1agqe6W1g7muP397fTl8+zxAiMMp4F0idkK0yFS+g5HfVnz3FRNAmlep7dOQA08LH/foqx1Iy5W7v1+xRSIfJ+iIQsYUgVIbL86JmbuP2Z+ym2WdzqOzQTPMQf29HPP33+EYpeGXrB8xsIFwcYThYREkKYVAwf1UzxzR89yb/sypDIeawquPz0wYN8ZnTm3r8wu42bWci25/6XaNfbyf+0xFt2zZ7vpa1xPnrDsuPO14vltD38/v5+Ojpm0h7b29vp7+8/7jGappFIJBgfP/qp/4UvfIG1a9eydu1aRo+YoBdCbqJMh9AoCZs+q+OYx0wqEkvqSEXFUSE0OcZeuZXWyELMgS1IWUF3JQl3ipwoobg+zSPPogkPN7IcXxvGqgRP9bIRXMS764M0Mjdi0H2oROvEhbiKjy5VCiGFSHl25oPuShwNhKkE4moKzC8FXos5epCmVAeK4tLlmeS9ICZZGZ/gOTeDJyWrcoHncWjRAiKNfWTaFX5p6YQLrbzJymHIENuntlAKLeDOlh0IXWFFcxchVaWuFMK2EqRlnOdCwfLT0Wa0Uxb6cZpCXTw7/gALR4++8VWvAoP9pCIuO9IXTr8uhED3HBTPxxEuE9U9DMvKsbH8NKMkQSooKJQrowyHuyi6U4RECF/1cIw4jYMKjaqK4Ubw8VEk+OJ5IR0pUX3wT3D1DtcFRTuTqRQDg/u4P9nL6qfvYCJdh25rjEeS7Am3EQntRVEbsV2fg7ZESkmHt4xkaZA6RyfvVSgrJkXhkCq2U9ELXP7EQ1zy2KN4yhhT5QgqDnlRIEqMRQUTaQYPun41geaGWFdyKYsKB6Z2UIwEIbqKMWP8HGFxQawfU7XJTtpsd7tZld9Jf2SUBjdP0u8l40kEwaog7IeoaJKioWB5GmWvQEwpU8noPNsV7D+sKS5ht+Kc0MgetGwqlQh6KI/WFdR6eJ5GIVx33M8AZNUQIQzqMy1kPIVE7EmEL6kIB1UY/E/oFlaIXVyvPIaxJ8tAnYlygr3MdLGPrBInG4vQZxX5rvgJ/xDfw9caezgQms9EqEIxFObBjiZuvCREn1JB6ia6VPHcMpafQbc18qKM4bWyyk/wnFfk7sRullQaUYFQ9X61SlOct/1OCkmd+ESBiVhw3Rto2HqR+FgDy0Z9pOdTQBJWFDTHQanqORkyhOJJHLUe3R3DDhVIyxh1rkVWs7HNBOpUYNuSueCej5YkqjczAeumooyWD5F3ihzIP8aSchtNlYPT79fLQQz75KuiF8Npe/hnkttuu43bbgs2N9euPfFO/fGw4grpcJm+xgxf+7W3HPOYe7+1hfKYgVQUshEVVfqkrlqIfq9BndHDYOlh3rvuV8mVMtw74bCoLsLg1gqGZeELDb3O5ncunM/9u7fz1+8+fzqs86mPPIejC5YOjRLu/xWc0CCaL3j9a+fx8P/u5va3r8WK6niuz7984AFef0En9z2k4cvA4FuexafWu+z45SYGQj6IEl2o5NzAi634Gr37/5ORpR8k1H4xnniIUG4p3v6LGVaepKQo5HMruTDbw4jdR0ZtgbafYfUc4APd5/OFxx2M1/w+65/4Aj9ZuZ60G+HupuAS+NTr19FdX8/YyDCVzzoMqHkm3Cdp3Adf+fDvoUVmqhi3fuUvudPRueLN1/GeGy+cNbc//B8f4blUUJAEq5SN5mMkizZb/IXo1UvOs0f4z/dfyY9+/XEitOAr40gkLZkyf3LB7zLyjafxRGDw183r4MPvm/ke1/b4/G/9hFsu7OK8q46uxjzMp/7wEcYaG9mw/TFu+LW3kfnST7jr2mvorWunzT/ET+vWsGLsSR41luB6A/zczbPAStAW7uGd3neIVK5gzJ/C1gwmPQWr1E4mEvwWlmOTHt5GPtWFh0FBVAiJCB9s/T0m91X1maSPoSistOvZpz6HKyusWXUlu5+x+e/fuGjWWB974JdcXryfH+y9msv9XjB/Skw8yIXx9fyfq36bm374KwwbQfZYzLM4LK6Q8mOBwa+KAD62IEu300BnqROxooHb3nl8L/HR+4vsPBDBaNjP5htfz8GxH+O6Op//zStRDeO4nxsZHuTOz36bxnwrNGxjKroD3ZsfNEHRwly66R0Uf/A/vFH7Od8fuYD+ZQm+ce1504VQz2fnNx7lu/taEVKwKhRnqz1KXWEP/2dhjFVvfCPL73iQJVMj/OO6Ffz547+gUMni6zpRGWJAUWgii++aeKIEusljiktkQSvnrUmgf8uhOebQViexh+9mm21TSmi0lkq848/+iPG77oVJ0PDJiwhRX6AieHNbPbF8BtMGy/VoiGp8/X0XMlUqcckPnwWh4SlZKlqMxV4d+72dFHWTJsMlPJnn6++7kG9+6gnGzQJuxeMvL11M1/I0B/ZsR/1Xl6dK97CoM8q+g1tYOv9SXuf5bHrfhTh2mft+9CcgHHzvfhT1JClTL5DT9vDb2to4eHDm6XTo0CHa2tqOe4zrumSzWdLpY6vxnS7joyOMR6aIrWk67jGN3T1YVWM0EQ/hh0KsvuwqMlqO1sZevMpTjG1/kvz+YOPUFAXKnoZXzfddsGYh2dESiiKmN98Aoq5CSZdMGGGswmBQfSgF6fbAQx3vD1KwDm8Ih6I60UgczQdHSKZEiUPf2s2y5EXk/QxloVOHIGePE6dCOl9kLFzmgF0hKQzKRoiDUYup8UXY7lYUKVlZuICYGmbb1C9ILmplldrB0M+Xsyvm8C9rdpILw+TGa6uFRyUysToStk/4H/cx+tHHkZ/rQwX8C1rYdMtbyJQ1Hv+XP5z+G6Xv88S9PyEddpl/7a8eNbdCAVwbT/gkqrIJnc4IU5bFKAlC0qDsFVGVYGVRERlMDBAShE/I0Tmv/kYMEcHFR0hw/dCs73DtwHNSj6W5cARpKckl4jQNDzH2m7/FSFNwTSzbsILW0jjfa9xMt7EFobWCEOz29zBqTKIpBrv2RYjJGEWvgDQloXIDQloopTFcReV7V17Pqm1B7NVy4+QVD1ONMPX4Pfh68FBrciu0R0FHZXDoSdpSULGjs+L3h1nQey1Xdt1PWLjcp17IltACFlcexBoVHPjP7SwsdfJcdAe2Vybhz1xzjTJOycuTHMni6ZItrRO8YfQahm2oaz1672PWdy5fhiwnEIpPdjIQZFMc44TGHoJGKJbUsLw4cUWyxyuiex4V4aKoKnd/+b/YKzpZI54D6ZPJWYz0Hb8C9dCWp7DjCdr9OnpvvJz3/so7iDsu392yhc/8/d8yEU1wQfx76ONb+OP1IcIVgaMpxKTFPlUHtYDjBYVgihnlUGYfzvhjeE/dwQExxKD+LE+O3c9zrks38M7Nl3Pbpz6FlUoxWaoq0lJhXPSiVvPmdj4yhK/qQYcwIO/Y/PiPbkEM72HZQLBXlklUAgltV2efFjRL0YwskVKFzHiRkf1TLL+kFUURDOzOALD9P/4XgGJ9kSfDiynH4/R5T7NguIWDfXt5+J6PoUX309b822fc2MMZMPjr1q1j165d7Nu3D9u2+drXvsaNN94465gbb7yR22+/HYBvfvObbNq0aU7i9wAtrR1s/KM3sf7S1x73mPm950+nT03GQ2gINE1jqDNHm7IAXYmx6/FvUpkMNnoqmT404aHIHszyGOuveANTYyWiaQvliCrQqPTJKRUm4imWTwwFS1zfJ90WXIzjA4HBL1UNvhU1aG9sCjTxFY+sn6Pb7eFgZSdl6eB4MRQhyNn9hDIOKVGkrGkMVR5FSknK0RlRinyxs8i4HKGrrPFuL8xkZZhhx8fe+jW2PvEA0ZE+Ln/2CeSuSb5tPsUz4THSfgyvNErGitKcy7Fz+Sg7V42yvTXLw3mPRWsX0n31u1nUZvDY4/vI7noCgAM//g9GCxprX3sRQjt6gShDYXw3CEGlPYOSEhxzj3UdlrCJSYucM45RlVv29fx08ZVHhWK4mR1PPoWmWHjCQ5ES15ttIA9nPegn2LQFaEwkyIXDVDSdhrERxhfMx7Bt5m88n6asw89jqwhrg6ClQIKZ28O+NhsPn474eRholJ0pCFWoLwROTNeh5+ift4Bb/ujDjCZC6JVxrEqCsiJRVQOvbxdu9ZroNhXaFZ8Jb4qh/Cgbbng9+ckysZR51FjTTd2YlSauaP0FT7gGP9NWs6y4g+4pjYWjbSwUUQ7GcpS8PCnMIKzluqSIUPYKpIaK7OpUsfwY66ZW0mdL6lqOzm46koaGZpRqGDGfC9JGVVs/0UeCY1QV1fdxVIVFoTh7bAVNcQJlWEXBdlwOuW0kRIFLjf0oh0r8+PHHj3u+XQNFHE2h26tn3sJFNPYu4X0f/QiLQpNsW55DSJ817tPs3fe3fP8HXyZUUbFVCEuLcV1iazaeCLKlpGGRjW/jyXIf3z/gcbe5hUk9Ryjj8da1C3j7n/858y65ePq78171XpQlJghSaMu6DAr4yoGN0hFMCHhuT55f/NffMn8wj+JVGKorISRovsNk7BBCgq9PkfIlD/6kDylh3qoGGrpiDO7OMPDgt2jKzafPP8BODPBdii3zeG5yBxKfnT/+Fo75TShczfJ1bzzp7/BiOG2Dr2kan/3sZ7nqqqvo7e3lzW9+M8uWLeMjH/kI3/ve9wC49dZbGR8fp6enh7/7u787ZurmS0kkHEOTgbHIh8OEioFhb17fgyF1uhovp1jOYldz8IeHx+luNlGULsxKH+FUM1OjJeJpk61bR/jn/3yKX/l/9/EkbbjCx0tE6alkqeCg+T7huIEV0aczdcr5wKsIRXWWzJ833QQlaw8yWj6E1/pLbGGCG9ywWbsfy3H4ixtyGOESZvFnjHuS9kqYsFNmV0KwW5dcMHEpzYrJ9uxjKMZiRtLzGJ2/lnxrD+2ZUUZiKXxfcv6uEa7frzFYyTMQjRGdNNn+syT7nmyg72CCvK5M98h97W/9OUJI7vvH/wfA4z/432lNoGPhROJ4TmDwU9JkXIsxGTN4RryDEA5xaTFlj6NXK3aNkB3URAC2VqYQbmLwkUdBC1U9fIntzDaQhz38I9Myj0VrZxdSUdh1wYXsuOBisqZJs5SomkZXPoEUCrsiHWjWAVQlRbM9yH/vm+KgMsYCL1gN2M4khMqki+2AR+++JymtWElXcyOPX3cD9RM78KrNTwqigufXUVE8FF9lflyjDpN9mV/QHPfovuY95CYrs1aFRxIyNrJ54beIAj/MBZWeZesR9m7MUr99lJLpUfLyRIVAtxVUT2ApOiUvj573eWg+LBm9kEcrITKeJNV84vRKAEqh6t8ZZJYozql5lWo1g2pVdAVZT8E3ylSEiy4gUvIxY0Eh0uuVhxGe5AdDx44eO7lJxkKNaL5ADykYuonveTzxyD/TeP6dPKWeR2thmMzeLoz4HrbLEWIlA68aAk2bg2R1EEQREhxNIzQOnRWfTtdhUcnhrZWLaZ4c4/tf+Qb/9u5refAvf5XRX94T/GZakBIZFnnG/eChfomuoSCoHwsefhGtA81McGHrTezdVaAuqxLN91MJRWnw45Q1l1CDSsTVKOpFklLy2PYxdFOlaX6clp4kQ3vHuPtLX6PeauNZZTdDkXG+0/M9hmJbyba08ZTyKGrr1/FKjWzcPHf28Yzk4V977bXs3LmTPXv28Md/HEi6/vmf//m0p29ZFt/4xjfYvXs3jz322HRGz1wgfZ+ffuJWRp+8+7jHjD19P0IGT2/HChEuBAa4d8VqxowMzeF2TKMeW1HRfUGhImjqPR9PT6OIYGmaHStxf3aKa//zcT61tZ99JRvdDc6jhi10XccRHpYabGam2yPTIZ0ZD1+nubMDxfeCJijFIe4b/AqLNr8BxzcJu4Fnm3MmGEy7xGQjdy3KM+UYDDi7aSKK4bn0TtyPi+CKzDXknQxla4hiYxk3nmIpPm9Zv4Gl11zPj5dfgNryGvamWtnX9x3Srz2PiqGwLFnhgtfNZ8GaBuo7Yqy+onNaITPWvZwLL+pl77DHw3/9G/SNwXnrFk9rAh01/9EYnhOEaxKeyWf129i17ENsGS+gCYhhMeVMoKeDxs/xlIFRNfiYDrloK/rjj+Hr0cDg+z7287xOxz6cn39i49SxKlCIbF5/Ppd9/KNMhUK0NwaZLutbVyGkz+N1i2kKPQdGN5Ys8ZxMUVTKqNUaCs+dpGQK6gttCGWSkF0muTYwxv/3936biYiNUg0n5EQJaXVVWxuaRBwFR7rsz/2SDde/Ht+D0pQ9XXR11Hi7ryFilLipdYKny908Z81HqHfTWNiKGAih6z5lN4+lqJj5eRh+A4pQsL08Ani2W2Gju5lK0UUzlOPGzI9ErRZQKcYhAHT31Lb1FCPYhFypBnORDxWp4KAKaHHTLJxcz6RMsUxuhaTGznKEcvloiYWDD34XJ56iy6/HboLM+AD3/ODNlJR/ZjB/KX1qNxvzRUL93dilOG6yn4Zy8CAzfZMrLl/PmKkjULB8FVsDw23m+l//MO/+5F9zwx//XwTQmXojF12ygURM5/GnBvjPT36aez/yf3D04BqyKFAsJgGYPG+SiiHZXgkeBsJ1qAiXJnMei6KXY7pR9MoAFknaZB0F1aextRm9UmZcyRE3E2ydLNK6KImqKrT2JLBzD5DSe9mvjDBogd94CA94qGE7O+JPU1p+F56ZxRl/K48fHOLuLdtO6Xd4obzqKm0zO37O088N8J9/9Rm+/6HXTz/JDyN9n/v+5W85LDjoGCaRalGGqqqMdZdolibR9HWUVB/TEwhgpx4s94QxRKXoUCm4PF4qscIweOB9F/GPnT/hbW41ZmpFKcSCmy0WD26odGuU8YEC0pczMfyYgZVuA8/DxsXyDBoiHrYaLLMbfIui5+BJh93dUd49shGRDjEVdhgs3EO8mva4YOJJXjO+gRYlyvbsY5SjjdhWhjZvAW/+84/Te+01bF66BOFLtrghLrjyraz/2lepLAsyRi7qSXL+1d289u1LuPG3VrPuunmz5uy82z5BOuzyyBN9GIrHyrf/3+POv4xEwAnmM+KFGPFXsWbT/2W/HayiQtIg54yj1wcP/URDI1SX1aZRwjZTtO3eA3oIV3ggJeXi0f1s4eQefkNvL5rjMDQwwJ6HHgJg3orgIbCot5Mmf4QHGs+nV3sWRWsDAXE7w5OJmSyVkptnxArRUGhDt4MN26Ubg7oDTdMY645OV3rmRImQ1U5RVPCkTk+2k77iVjwlRXrD28hnggfh8Tz8roXr8coJLmi/jxAeP/LWMd/dz+M//jGNEY/Vbe0UvRyWaqBVksTddHU+skxEwU2101WV70g1R2ZkrU9AIpzA81SU0CRSgiVOzeCr0Wrh0ESShCLJmuVg01ZAuiAoKmWychndop+GRAnXE3zzBzuOOs8vfvoIqBo9fgsicYDHHrsOEd5CTHyQ7VZQk/Dejev5lY//JenwrQy5EtMLDL7uW2xaO5/hUPD/kCMoqi7Sz00/7GLxBAdjE7QYBk0X/xo3f/b7/Nqn/5HzetPsyvTjVPs2WEyhFpOoAja95TqSqxKUfKWaPp5DCtjdPUhDeAkIk6noOAJBi58i6zksSC8i74wEMtGJNAO+PV2xXd75P3j2szQkl/KQuo1UqcRU3RQxLURzaCHP1e/lb4wOfs3/Iu/tvIQ3DRT4o139z5+qM8KrzuCnei/kvZ/5PBec18b+wTL/+clP8/0PvYGxXwaVfNu//jccnICy4qFIga9ZhGwfuxJ4520bFqOi0CjryYsKmuMR1lwO7Q3ExPSGClNjZYpC0o/Ppu46wmM/59lHxmkwWwn5Oo5hcLi3dTwReH/ptihuxWNqvDTt4ZsRDSPeAL6LjYvhKlz7wT/m0J6ngrFgkHfzICXz1y3g7R/5OJ9Y9m8MN4XI5HIIN7ihs47CO4ZupuQV2BOdpD8cpcNrx/RnJHGn9pRpmPIYaPRYf8N8os3NPDueAeD8zmOnrx5GNUNs/pV3ALBiaTNW/bGbYwCISASt6shZnsWAnWHrtlEUUV06Y5KrjGNU0yZjTe24TpDrHtFKIBRsqw5fC+HhIXz/qJ6o7il6+IqqknZdRoolDuzaheJ5dF0UZPs0dMVoLU/wbLSXpDqOUIMY8IbKHr43CU61J2/Jy+MLn5CTIJwfYripmaaWmerVa87vQXgewg908VNmczW0oxCRIfZmnkILXUh+0p4p+T9Ov1hFVVG9DViRx7gpVuHe/GoUJA36FJe+6WY2LbiaKaZQhEpYGET8aoy+mOGZeYIGcx3Jaigu1XIK4RygpbMd2w6O9TydWOjkqwIAK11NRBgZoceMM4qDIzxUAUOiQt+CCUz3YgwcNrtP40c1vvDLQ3ju7PTkQ4pPV/vT2Bs/CQ2fR7pxehd8lfWXfYD7Sx7NUxOsrF6fi85/I+OuQFGqY5QqibjFVCgYS8gW5EQJS9hY0ZlVobtIJ6oKDu0IEkfCLfO57GO303FRCqMcmEBLZFC9BI7qI9wKoSc/hS9dytLDNANHrmdVD8PVFOlMooyQUO/FGPezLEyvYkQNROjsmIbt5mjqiVMc2MP93/k+EaOFPjNHSXG4/ppr2FksMmqs5tn6P8WPXY5d+CXxwc9ywd5neN+ebXx62Wyn60zxqjP4AKHGTjb+/uePMPwlbv/k3/H9D72Bn9xxH00xj5wusdDxq31TM5MZABb3rmBCLdKmC/KijHAqeBLMCUGoOELjoqVkR0sc0oILd+28ED/47KfpaVrG0y3fI6pBUfNR1MBziNclAWY2bvsLlHM2ZlhDVRWEpiE9DwREfAeXBBOjQWVemzSZciZxVY+br/xdAJy8Sm/mNlzdZaiyCyGhd+wKWtQwd/Fzcsl6LohGWXXhZnITZRzbY7Qvx93/voXuTJmDSR3XDwzmzpJNpFygI33ivGuAjk1v422//ats/NDfn/A4JRbDcCRCCnTfYNjP8cTWEUKi+pDzVbzyFFr1Joq2zsN1glCXVW07WAw3I/TQdEinUnTxvBlDcdjgn2zTFqAhHGHS0Dk0laPBtjHC4enPtmQdxkQjh0QPUh9FIcyK8jYGfZ8Hwlnu80bwpIPlBMajcXAbk8tWzDp/79VXUbHyKJ5BTpRIGA2UsAHBhDOEYgyiaPPIjZenRb2O5+EDNDZdjqKXuX5VgR1KB4OijgXJLF1XvYdNPe8gqwQ9a0PqbIM/3ubTETt/2uCfbMP2MHVtbVQqhw2+RjR67FDd84l3BiG5XCZHor+FnFJtEyh88khiPY34/hp8Kbio+BTuvBh9nsedd+8iOzXBs499kx99+w0s33w/nfOfQSs2Umd+lE1X/oj2+Ws4MDrG3kQ9l6gzD/u7ngmyojw9hCoVqraaZCqFkA5mWaEiXCzNn5UUsviioB9BZe9Mbc/U5DCl9CFi5eD8IZGl4BmMWn28+583cXCyiC/zVKSCUc028/J5tpID6VOIh0m5JmWvRN5w6Imfz3g4iyKhZFVIlzMMTxa561O/i+0p1LdvYJvazyKpkFg7n5JXwVDSfCH3UT4duYu3WPOw5XZyzn+gHNrKvPzs5kZnilelwT/MkYZ/w5pW9g2WKDgqm9/zaxR0BUsaCC242Kcmg7J/RVEYqbcxVQdP+GAXqHgalltPLNeHvWMrO3/8X/SbGQx8hre/n+YbD1G6+h8Ir/gOWrjClFJCq8oB1LUEN0Zda9Dybrw/T6ngzPJA/KoB1pGM7tnLVDnIqY4TIlcZJJvwaUsGErSFbIWQFWHj6m4mJ3YSkRZNwuQRdQejEckaXefKD32IZFNww/fvmOSOf3oGK6JzaTtUDJPH9h4A4IDQaC2fulpfy0U3oUeSJzxGjUYwfDCkguar5JQSjx2YpE4GxtxzKoRsB1UNxhdtW0TJyaFJFb16TCHcglRNXOEhqr1xj1RcPNWQDkBLayuupjEeDtGWmD32+XbwGz3Y24EW3g56J3axSJsQ/Jdt8pVSsF+jeoH33zS+i9Ca82adw4hEkFoOxQ8zRTHo0iUgKnT2ZZ9h4w3XoagKU+OlWaJex2Ph8ivxPQ2HZ+iM5rnfWUVbOMO+hx7kax/9S3IimCNLEYSrNQ2ilKUpZbKsoYX69uBvaug4cUrmYVKdnVQqwW/heTqRePwknwio725Hlyr7i0X0wjxsNVghS1ViVDwWrViBJMKk6GJ1eRt+c4iwKnnq4W1M/PUjjGb/BIw9HDy4DB78AP7ud7Bm4zvQq0VrX31mCwiFNy0MPF3P9fncz5/DcBSkbhGVFsWqhs0VS1qw5CSiutej6rPDUq1tnYxjk56auV6ee/LLTKlRIraDLlWgSMGH8dBBnkqX+NnlQ0gzRNmHsBskGOQnJpj0dczyAEJP0OqlyMgCUoHic/3YsQohWzKh5jmvkuWBe+5nz5DLBet7OKiOEpImF938bh45cBf1WckHv/00MbGFdOT3+JO3fI8bdqUYN8e5u+1+vvTt2/GcF978/WS8qg3+YUKNnVz8B1/gVz/zL/yf3/sALRfdhB02sKSBrHr4Y8MzMbPk8g7ySnBjOeUp1m5cDUodht1HbskBlBWfZzQ1zvzUbhLzD2I6LQzvuYCfPPMmnggvwxM+XjWumKwafN1USdSHGO/PU847hI4w+FJW9xBQGD6wnzEReIIhDKacAYQ1o0FfyNhEEiZr3/WnTLiDRKTBQXWUrXo/7flxbvjDP0RRlOkMjbu+uAW75HLd+1dx5eIgjPLTvkP4vs9QOM68wzogZwgjHsdwPTQfkAqoJX6aydOiTCCkoFyZIFIpQ1Vnx0y3UXSD1MyyY5NXJePJ+aiKwMNHVB+GR0pWn+qmLUDb0hlp4O4li2e999ruVSTsIp9Nv5v62DYUvY2KVLHbp9jj+oS84BoI2x0IOYHulph34XqeT2eriepZ5EWZYvW3a/V1cuIZFtz4PqIpk9x4mdxEBTOinXBlYoVjyOJKbPEIlxT3cb+/hjAVfnrvfzKoKIiqh28pYAkf2ytT0ivE9U6WNTdS3x7lbR/bQMfSk6/aAGKtrdjVTVDP1YmmUqf0uebmtmA/xlTpLKcxq9eRr0gMDxLJOgZCYxRYQbs/REtxlHjapsmJoTtxlPyH2PbAZRzc0cu80ioqzyubuTtbIlXIcvHCQHTwv761lSExSV1OAcMKWmNagbNy/fpeDDGFW9XoxzCRzxMkGw25NPgm4+Mj+L5PrvxtxvOLCDsOOhpl38RHIRseZ6Fr0qdV+HbvpylKj5QfPAQLmQxmWSJEsMHdJVrJ64Hz0ffcFkIpAaUpxkWOC1SFnx0YJGG6jFRayGoV5hcXkh0V/GDfk2zcKtn4xD60f6tn+fq3A/DeC97GFY83UVFL/KzzSeSJypNfJOeEwT9MqLGLpnXXAKDELULoSFXHE4Kx4T3Tx3UtWcBktY+RrOQYiQZicJqyn0hzmMmR1fTl2uicLGLfv4GpZ2/hybGVfG3hdexNBN5SRg+ezvGqwYcgrDPeX6CUc7CiM8Utvh8cK4TGw2NjZL0oii9QUZhyxoir3dPHFrMVIkkDq76NurY2FLuMJ3yM7BTv+NjHp6VwE40hhAiM4xW3LqO+Pcry9jbC5QJPTBXZMTiErZssic4uajpdjGgM03FRPYmHj6oUKQExkSWEQc4ZI2Q7OJVgnHbZp+gHqZllT+JGNXLxblQELh7KYYN/RCPqF+Lht593HorvB/sgGzfOem/FylZ++3sVvmI0UB/KoqhBbH61+xxCk4S9IkJI6kpdmJVBpqIxFi49uhPTFW++DMUzqCguWRHsR1jlLBdcdyVCUYinLXITZfKT5ePG748kmbgMLTTCeak8D0dWYaOxWuznd377t+mpr8pVCDCFT8nLo8Zt9oc6Wd4WXGup5sgp17koqopXrMqEezqRulN7UITDUUypokjBJd4KWqrXna9IfNVifHScqeYKir0BRUiuHnmY3IIoh8XK7eEI2XCCRKGEgU64c+ZBMzaVY3u8nov8EoqiMDZa4G9+2UcscoDVI+DpOlFpEY7sxPd9IqYJWgFXBGP3DZPi0N5Z4xWd8aCr2SNP8suffQktPERBnoflBkqZU37gVK3fNs7rf9nLX5z3O+TMCQ6GD5CqJkeMTWQxiFExp0BKmmQCOxlH8XQGhgZJtzTgFsaCosNIjINqkuUbLuCpUpl5XiNoDQzszvBcYYLePoWKolG/fYoffvJvAZh33W0sLyvcunU9b45uRjnFDfQXwjll8I/ETMawpI6nKlR0lamxQ9PvheMGGVECCZFwiXwu2DRS9EGU3W/hme23IlF427VvR7RexqOhUX64/EIqms4fLw4UFcdEDlUKzNjM0rquLUJ2pEg+U54V0lGrG4RSNfFVwZSdJOKCJ32K7hR1ciZuXMhWiCSCVclV7/51poa2Eh+fIK5KjOjMSkDTVZZe0sZr37aYeSuDkISiKCws5diuhXjiULDBtLLx1G7wU8VKxLAcG8VzKeOQVAKDHRIeYWkw5Uxgeup03+BCpkLR9zGlTgWBWWci1RCKkLj40xom5VkG/9Q9fC0UIlmpkCyXiTbNdiPj6RDv/uRGLrxkPp2tF4LMI9B40/AefqOrgTovh6q5JCuNJCf7GV7ce0xt+bqODmQ19DSsBLIKldI2Ftz46wDE0lYQw5+oHLPo6vnMXxI4JXULNVJhlUe9XtpEH5HGRprSTZS9IpbwsRRJ2cszP5bnULiZkHHycx8LUQo8Y9fTiVfTVk+FBbKOy5zlTF0AyxuDrCtP8XG1MCP9A4Tnp8Ffji0tLp14nPF4I53V7mCxQxYIQUc1tNexaEY+/OtPPYunary+O0gOeOCRPnJIjFA/3eMqvqoSlSHC6e3sevYuAGzTxTHSGL6Kq6nkDs3OCGpd3EVey+JP/TsZ95O4+QWU9C50z8FAZVAmAVhyYIK19zxBZGsLN235LfbFd6ILDeFLdhaCLK1cHCIuKChMKR6aE2efhMIukzLBqqMSCjFmNvDTvjIqCktkM6lF9fTvGWGqmGXJQZ8H56/l7o61LPzvL/PgD+5EKArrL7+MwsGDXGrUHbev8Olwzhr8uuY0ljTwFUHRNChPzmzohKI6eaWE5auEWvNMDS4kXBxGRhUeykzyrHEQBUkyv4NnJjPcsepC8qbFP7fG2LT2PCKuihQS83nqXvVtUaQM4tFHhnQiarUmQLO4qCkCRY2wNMlXG4LjB56nlHI6pAPQumw1o0aKyuhBXnPzu476G1/7tsUsu2R2Rs3qkMZ4NMlPhwNxpnWdnUd97nQIxWOEKiWE61IRDnVIVEARWjUlcwxVzHQVy2cqFP2gWY2tKKSrm40qPgjQDmfLHBHSmTb42qldvjdcfwM3XX/DsccbMxBCkFzzOjxzF0Jr4+ChSX731nVcFt6Hr6kIFBrG9sLqNcf9Dk05bPAzCClYf/lKRPWGjaVD5DMVpsZLp+Th1zfPwy10UZZP8vrFddzvr6bBHyG7/xnCqXrKbp4QDpYQlLwC7ak8k+HESc973LHbwUat5+nEWltP+XPhDU3YKwWvuel6Ll50bXAOIXG1MBP9A8xf3gtoTMhe1pWew/QkCc+ihKTVrccolUnG2smpBdrau6fPe+d4lki5wFXLgnDc9v4pVKVETrpEysFYo9LCtSbZf+Af8X0f25JIoRL2FSoa5Ab2T5/P930msz+if+Mf4zU+jWG/i03XfJ8xV6L7LroUDGvBPWbLIv3JKOpnPkVDrp5VjcGejcBgXBN4SoVSxKK+YuDhUzIUosUW0q5PqhxjMjSF6sGEbpMUGgUR5WK3l1y3Q/PCBPt676N7aAC0NJXOGzmw8Z3sjzdj/Mmfsm/3Xhbf/DskTJfH7vwh0j9+q8kXyzlr8Bsbk+h+YHRz4TBednLmTQElUcL0INqcR0y1E8v1YS5ZyZsvupxRN0W9KPCNJx7jq6vWMBmK8jd1OteuCISqYtV+B4Y/e1l9OFMHmOXhx8wgvGMbBuH2OiIVh5AIM+VmkbrAqWhIXwbZKq5PJDnjyW247j3sX/x2lq2fnT1yPC5pC7zc+/Qo0VKepuSLNxTHIppIYFWKSK9CRbg0IunRdeS0wZ8ELTxtwAuTFaSIoPlgq4KOruqmoRJc7Ea1zeGskI7jo+rKKeWZA8y75OJZ5fTHIt17KTK2E0VrJ1PRsCcGKJUcvGoKYCx/iLb16477+flLgmDFpFJAkzoL3/CB6ffiaQskOGWPaN2peeEh/WLUyA5et7yFe8PB904+9nXC6WZKXp6ItLEULTD+lotvnVoa5rGIiCQQxPDNU9y0Bbj0huvYfMsbAOjtuQwAV5E4WpjC0DDNLe2MmJMU5Qrq/QznZQJtqvtwUFFoL+jEaGQkkZ32ZvPlMs9E6lhXmUJXg5DGzvECTZFALk7KGYMfTV2DFg28/GjVCbIcKCgOueqe3OTYIe75/tspmZ/ALTTQ/cifYUVfg66bjDk+qnQx8cn6jXi4HEiH2N6ZJjUxyvx9d9DYFOx7mZ5FxEkhRbAybvfSDKkV+pOwVNRz8wf+kNdf8T4mYxX0SpkxZYrzECRb17PAb6Hp/AWMZv6L7483sfSQx1DTOkJ+gvlDCg+v/xASgy23/gZl1+OyN97Ixje8TKUVXqnU11kockZPh+zU9HuZyXHyShnNcVGjFqofJ5Y7QOOKS1DTPYxicpGIsGPBJYzE6/izkM1b1s54f9Gqx2487wEdbwihVQW/Znn48XBgEHSVyV3PIFRBRAkzZY8QsSykBLviUagW7oQTM/H/N75uDZ//s5tPefl36cIeFN+jYEVoqxRO/oEXSDQeJ1LJT8srtCou71jVgi8UNF9B+hI/FKeYCwx4PlNBKFGE52ErsKgnCYCoGnpDkZhhjfIsD98/pfj9C0EoCmbrEKIaxx945AcUKxJPiYEsILw8yzacf9zPX37L5SgyGJPmKdPePQQhncOciocP0NF9NUJIsn0/YTLVzl6/GfbcR6ShPTD4ehhV0Sh5eUa1Olr1Fx/vTUbqKZfDOIVTS8k8FrploUiJLTw8PUxlODDuEw1FXCN4GF43vAWAe7Bx8GmTaRrtepzmmbn69tPPYesmN7bOhJZ2Fysk40EOfVkNxmj5BusuvQ23nOLA4IdpSgaV9VbFpygq7O3fxUN3/QWPP3ENIvxLQt6vcfDBP4JCE9lnA6M9JU3Aw8Aj7yRxxAhlQ6MiNHauXknHofsoTgYZc4bUUFHwtRE0x6FdaaMv4rLDKrLAUhg5NILbV08+5OEXJpgUeS6RBfYPO0zqU6j+IN8d6qNoT9F7UDKaXkJU60d22TS5IR7Z8FGifpqvvPtDLLjpN+i+5r2zrqEzxTlr8NN1IUS1yq4QtlDzxen3BnbvoShsFK/E1PhqACKFg6R61/LA95/EFzBft3ioOcE1U0O8d+NsieB0feAlPV+GSlFEkJ4JhI7YtI2nYmgo2JqCfv8WPD0I6eTsARoSQfehSsGhkA0M/pEe/gslHgrRngtikfPnIAsgnoxjOGX8qrxC0lfYdF4Qaxeui+5rONEY5ZyN9CWFyTJmKAKujRSQUkuUhZxuYK6rClZUp1SYHcM/lRz8F8q89mVYrgsI+p97kqKjIGQdoeIhBub3YFnHN9axqIXuBb+48bziotkG/9R+u66FG/DKCcbH72dNncf9/hpayjvRk/WU3DyKFpzH9XPs1dtZGHnxK7VEup4nn7iJ/N7uF30OAM0LNPGlEcavGnxzXpzMvKcoGyrnjwcqk5MU2CErNIW7UVGJddVPn+P7A6MYdoWbVgWdunJTFQZ8Hy3cR6rsUTbDCAkIBd0M0dP1dyj2BkSkWkBVFEgBZT9EWfsSstLFisXf5qIrPkysMcqwYtM0EMN1XUpGDB8PE5uSY4I7s4+XjwlsI473758Lzuv7+IpNOVQiVswT05MMJCvsDymowOTdz+E8uh3TiKKWC0gBncLhgKcy3NHHg3v+ie/tuQZRN8LiQyrFaCc9xuO8QfkoG361l1LIYMuyW4l5vfzVb33mtH6HE3HOGnxdU5B+YDRKloVZKE+/N7x9NwCaMYkzEoRKfG2E4r8NMFg2EBLu7rXRPIePXXx0mt685UG3L/0YKY911bDOkSGdZH0S3Rc4KqQHq4U1MugKlWoKMi8qRZdCJvByD8fwXyzLqsJXS6IvPgxwPCzLwtGCEBSA5UTYuutnAHhOCcsFLx4P+gYXHfIZm0g8gXSDB0R+bJRySIFqoZahqYSiBqXcbIN/Khu2L5Tz1n8ARxxAURvZu+sQnlTQvQbqJg9hVyUZToRa3VswmW3wo0lzOvx0qh7+4apbrCe5bn6S+8zzMYVLbt8TlLyZohzBJLvNDla1vXh9qmRLM76vETpNj1L3fCq4oIdRxwPPONUcJtfyOGNqN20VSVkBTy3yuPRIqoE0xOF0WcdzecKKs7o4EWTeANt3BudxtT7WD7nYVoiQr1Os5v0vWHYpl9/4RS55/ZdRZBm9FFwXMt/Iecsf4IobvkdzZ7AXkKgPMSF1Uk6cn37ze2QMFVcEBl84BkoleEjNa1IYncqzbeFNtB3cS8nPERaBwa9YClEZXNuZ1AQjoXr2FvbSXayjS0SoUxsQpWovZNVnEI98wzf54ta3EtIUOu0+pN6NFDoinKW1tJ2W4a/z4b95DWJVgvG6JcSKC/nI733nqKrkM8E5a/AB7Oqmqm1aRIozjYdz/cFFpkbGyJXTCK+CGi4wUDfBw9KjXig80dDM1eVJOuuP1vXvXrsWxfdJx4/WFa+vGvzwEe+lmxtRpcBWJKVqc/EwgeZMujOQR6gUj/DwEyfWKz8ZFzcGKXAbWo/fM+B0KIbCqF5w45l+iD37A61wpzJJqOIiq/sGpSmHQqZMrL4Rt7pBPbRvP0aDhS+qOuWGjhXVpxVGAZw5COkANHWsoRDejdDaGCsE41dFnHjuEHXrTt6QJ60FhqApObvKVVGVac8++gJWZ03NQdXtQoZ4tGkNBWlSfO6H2MyEH1Uxwe5wB6t7ek9wphOTqm7ch44hd/1C0D2finBQVAur2s5zeOAbIFWKU1eiyHrGTQcjBI9WH4A5pUBTU7BRfOez2yhaEa5pSE6fc9veYG8tQ47lIz6OGSIiLYqGPeu7zUgCk0ncquCgq0RINXbMCnUmGkMMTQX1HZ1P11GkWv1NGcsz0ewJhJRc8s7fRAIjUZVday9Az2UIoVCVyidWzfe3rX5yeoKHs3dwV24L/3vg7zD1cTxFoLkwqkyxCI1/3nkD4+U6wgtNVu7rI5NcBPjMf//fMaq3Uff43+Dlx/iNXz+fVe/oIpw/SHf/MHat8OrMUlYEQgqkESZSmpnccr7aUtDQyAiXcGkULxXhwg/czF48vDodzXP5yMZjb+JZyST/Z/NmNr3n3Ue917uxhStvXTbdJQsgXNcUNEFRfIpVLRPVEzjSpr43yBKoFF2KmQpmWDtt7/bdG9bxteYQr+1dfPKDXwSVcAjNDS4twzeZygRzWylPEK5UUNNJIMi8yWcqJFtbcKryChNDw/zq+8/DNzMAmJZBKKY/Lw/fQ9PPvIcPkG/sQ9GOyFRRwsTyh6YF005EZ2MQymtvPdoJiKctQnHjpE1bjmTh8qvxXYPMyD00RXx+5q8gnfklvnKEwVfGGY7WYZ2kacmJSHZ2InyfsHl6K0dNeoEkuHCJZvNMjh3Ct+5BGdyA5lyEJ5vx1TEMrcJ2PFx8ytqM4f72gX5U1+Utq2cSEHYMTmGqeXJA+yh4hkFMhqiEZxdWSSmxRJayiKNKBVe3jspySTSEqXiSQ7ExcoZGsiqrgC8RCDQnT8R3aDj/CqJWFM95jvM+/jE8O0vcDu5Ls1ymzm/AxiakBJluE4k6JsfuRChRNl70WvJhEKUCoyLLKlR2TC7klvY6DrUq9B4oM5HuQVEKNLekkdf9PRGZZ+irwSb/xRcvoePNbXTe0kModHq/x7E4pw1+UQELHaFHiJS86ddtoaJKhcFKO5GKRrg4gtoxnyd/OYArYLgjzDXlyRNq0Mx/zWuIHCOn2bA0Fq6b7Vlb6RYUX+IIj1JXNTbr2FiaR6IjyBKoFF0KWfu04veHURRlzow9QCUcQfOqzSM8Hc8OxlwqjxErFdDrgxXG1HiZSsElWhdGeoEnl5/Ik4ybIIOb1bIsQlGDct4JmnUzN5u2h4ksThGtzJxbYJCNOtQ31J/gUwH1rdXCp9aWo95btL6ZpRcd/fqJMEMRKJ+HozzEhSm4Tz+PeiZR1eDh6Po2ISVPLnZ6xXOqYXB9by8X33zzaZ1Hl4HMt4aHaQt++fA/IBQPX7sMQ0nhyBZS7m7G6qJ4QL8AIcO87Tt3sua79/KjaCNLc2PUHaHnszNTpDkWbNhqU1GkphMnDInZ4dJK0SWsFLHNOiK+gaOrlEZmd9mKNwTzVG62GDF8GnLVfs7V3hi+rBCpLnLqWtcgvQnUgafobxTECMaUmMqS1BsZ08Zoq16P2VQH4NHaeSFL2zcyGXMRxQw5pcxqbJYakFjsYFX2s+SQylR0Pq4a1Oc0rr6KA41X0Dl8F6PPBBvPyp4C8aeyp/VbHI9z2+DrCpbUQTMwHAXXdfF9n7JQCPsqD6e3E7HrCJdGCK1cw8+eCWJ8SkzjIxcfP0XvhWKmW1B8H1u4FLpUhISKnaE+rmCGgyuwXA3pnG4456XADUXQfAXVB0WqqDKCJhVsr0CslCPSFHjAYweDWHQ0ZWJUvdbK4ZVWNePFjESwojq+J7GrMtauMzcxfIDlK67CqvQjlMBbD5enmFx6ag/Hla97HdfMm0fPpk1Hvbf04lYueN2CY3zqxKTrLkezMqwNFbm3MeiDq5JFSknJK+CrCjHVPslZTs75b30rjb0vPiwEYAgZaOLj4mohZPEHyMJGOs8/vM9l0eJuZ7yjFTTBd2KSesdkh0iS8FzeVB7jXy+ZHTrbU7aJJJ5BkxLbiYEQxAmhJ2anROQny6iqj23EsDxBWZXkD26fdUyiavAbF6zgwIWSZPVaq/g6UvpUNEmo+vCMtF8KqDz3w69jL64jrCcBCPtlEno9uUSRDj2OkB655l5UYxnLrn4dC+rXMpEooFY1qiJKmc/feh7350pctee7aKIbqegoDpSqYcqmt36WvB9h9Cu/y08/8at0jqUpTB2/JeTpcE4bfNtUAz0dTcNRNUYm+9i/7SGKiocmJW2jZYRQqYsfYtlNt/LAwCR+ROOKYo72UyxBPxX0SBLh+di49CmNWBjk7SHS9Ul0U0UoorppWzntDduXAjcSRvdA88FHYvmh6SYnkYpNrCUNAkarBj+SNEmGq977YXtfbVATisUIxYKb+3BYx7V99Dny8Nd0Xk1e243QglTCZH6U2LqNJ/lUgGoYbHjnO89oL9JFK25A+gpNxccYa2hkq9+FTpGyV6Ds5cnpMVr9yslP9BJg6QJfSBTh4mhh9JzN4qUfYP6CJdjycF3FAFcOPEhCFxwqBgbv7/UMD7zhKv7huivpPmIlNTKcZ0JKHHM75+VsinpgjKMyhB6bvfmdm6ggBCAUTMenoDhM9c+WV4gmTVRNYWrcJicUUuXg+7PSQvpZpBBEq1IonhciHOlix55J1IhKPQlWPreDurBPSIsiOuLEw800MsJEXRI9chUdSxswtTBeKo9aLoCUjIk8Bw/sYE8owordO8gkF06vVLfd+WMe+8zvcMef/Cr/vnMld+7vZM92H0OY2MlJ5oJz2uD74RAWOp6qUtZVdux7mp2P3U5OlCkpRd7yUJCTrfW4KFaS7Y6LSBp8eNXSMz4W4XtBSEfWBRIE9hjptk6EEEEeesGhmLUJn4GQzlzjR6IYrofq+ZRw0D0d3QNFWKhSkqhPE4rqjB0MvKBo0iSejKNLBa/q2VPtOBVO1E2nsJanDf7cefitiUWMJPahWeejhV5LPD/IwotOzeDPBdFEPV5hGY78KYuY4n5lDU1qhtHyQcbK/YxZaTrUl8eqL2RU4yGqi6uFKY7Mo7NnHaqqkqtWTBfdSa565HtcWizwtOswpRaw9x47fLF15xgoZYaVIpcO2OSjwWZ4TFpY8dkb4/mJMl7VqQhVXDzhM7hn/6xjhCKI11tMjZYYKldIVA4b/BCuH6RkNvQG2ViVkkuy+XwqvorfvxuBYNmf/9H0pnCyq5lIrJ0WBhiLCLpWpEk0Bg+keHMI4fvoFY9RJcv+Z0d5++gPiQ3CWN0icpZAOlu5/5uf58GHd5MvOqxYXM/m7kGu6wwcnTW3/dqL/h1OxDlt8M1YCEPqeAqUdY2te7dRHs/iCZ/YVBbDTwbHLVrG1+97Dt+XzC8LFs47db2RU+WwKqThhoOUTGeC9IJgiW2GNbIjRXxfviI8fCIRTNtGeC4VYVMSDorro4rgZkml6wjFDJxK8DdHkibRujo0X+BSjadWTxWua5jx8KvFV84cGnyAbLtPpOKjWechnEPMW/TCQzFnkmR8M1p4kLVmibvqLySq2zwy+j2emfwJ/ZFmFsaO3iQ+G8QOp/kKl4oRJjM0461XqtITT2bC7Mw10t3336yc+Dn90UkaRqL4x5AR2HEggxreixSCroko+WgMpCQiTaKJ2RXBuYkyTlWB1Trci3qkdNQ5E41hsqNFxmyXumrhYd6LIN2gknfeJVcDYJdckp2riJsu2T1BltnU2DhaJfib2ubPI5Zso5kBRsMRrv31FdOCdV3pdlAiKOUKo2KS1rEot/V9hdYBnVxsHkaTilv6CYZex/v+5m9417//iE1/9mW63vvPIHupqIM0Nr2w/Z5T5Zw2+OGoge4buAqUDJ2Rge2MZwKvfsnuUXKN8zBEga7L3sQ/7w6KRq6cEHNibIQfeECelISkTsHNULckiH2aYZ2JgeDijCRfHt7ciRDRKJFyEVyHknAoiQrSLaEJA1dRicai00bcCGkYlka0oQXVl7iqwPd9ZPXmidQ3YUWODuloLyDb5YUS7u0kmdkN0mekfnJORKxeCD1LAx2gpWznifZV+EeEjPYn21nS0nO8j76kRBNBuq1UXAbqI9Q9OxNS8apSGZNOhKjmkLRaWJv9Bfm9W0jbCXY//sBR59sxnCcW3Yrl+2iFJorhWLBSRCGWSs46Nj9RRkaDMGtVNZmC/fzSxyCOnx0tMe5J4m619saLozjjmK5Lqj2oZ7BLLmbYZPnK+QxPBPde4dAgcbWJIkUaGppJpjtpYQBHNdk9PDL9Ha16E55moZQLlBSf5pJGpmQQ8bpA0eks3IHnlcDahNEw89vF5p1HQS6jjqcZeOhrL2DmT51z2uBHYwZKVU+nGArh5PvxSlWZ1tIUXl2ckDrBlopJn61gaQqL0y++/PxEiKpEMiJIydQVj0hb0HPWCmvThUevBA9fiUaJlEtIt0IZm4pwce0cutTIR6IoikIoFjy4DmcdxZo6AnkF4TEyPIAvAAlWffP0seW8g/QlnjN3WToAvT2rSY39iOVbvsTIgjOrNfRiSDd14+YXkPYfwNJdtqkz7e9GGupJN3adxdHNEE0HKw1fcRlJJegYmuLQgSDDRgV8KRkpJimJxWxqbuYrbbcwoAfhnK3/eg93/8nbKPTvmj7frmyJcHQb55UrVHImlVAIs1osmUrNXtXkJioY6XYUmcezDZBQVo7u+pVoCOHaPhNohLxqt6tKEsWbIuLPpHpWyh5GSGPZ63+VshsYfGdggoRRz5g1jqIoRBMNNHlBIsczA0PTnw1PFSibKqIUVLSPKlMcKr2GyeRCfFlmZN+zNCVDKFon/Tsz05/bvXMruoxQUHdj3Pun+N7s1NMzwTlt8BMJ8wiDb1GcHEEX1Q5Yb7yWskwghc/Hn9mBOlGhx1amd/rPNIclkgFwXdIxprU0DmfqwOnJKrxU6LEYll3Ed8r44nAqZQ5NKpSqKXeHjfh0QVJbD7g2FRwGDhwItPAlGPE6dFNF0xVKORvXPayFP3chnZXNFzOQmqRx7Cm0lS++gvVMErFegxHdwwp7kkdSQW2GrnhQ5xJNnvkQ44sh0Rwos/qKSyEWrJSf/OG3AYj4KkVfYnslUOroryhYZpqn29/IpJalLt3Flt0Z7vrU7wXn8H32eOPk9ALryhXMkSkc0yDkG5SFTSQyu6NXfrJMtD6FLiYpKBEi0sTRj75XDt+/U6qJho8mBZpv4MkSoeqq0fd83Epg8OML1tCe9in7RZSMT0JvoFgfXIOKotBUCSRZtldbpAJE3d1koz5KpYDiewwrw8SdpUykFiHthyh7Kpve9U4MS2X/0zMqvYNbghXR3XYb3yzcgKLW9PDPKKmkBVX9k5JlsfCghqurhHydnyYK5P16ft7VwFN6A7iSjrKYVTB1JjHUmRim7+Sn9XggCOkcJnyM6t2XG3osiuEUOFJhQLg2hutRiQY3arga0jlceRptX4zvVigLh6mBsaoWvkTRgr/XigbFVy9EC//FsqjhArZ2KWTCMH/NqamQzjXzF90IwAr6+PH81yCQ6KpPoz9x1kNOh0l0VTXxhY+itTEeg/JPfoRdqRCTJsN2GfCI67CjtIweS2VPscJIc5603snaVe3sG3aZ2vs0B/uy2JGgKdGiUpxUZgJf14n4Fnm9OOt7Pc+nkKkQrbPQ1CwVKxXk4qvi6OKr6sZqzrSCOUSALOELHzMeXJt2tSbHDAUGd/nFl1B286SLjRiqhdY+s+pLeQamX2Z3VZpldHAPkdh+JlMVhJQk85PsVsdoNJaQiTbjlZ5hUbtB64XX07k8zb5nx6dlSOgr02+McFCPUB9Onrkf5gheHlfKWaIuZeFXPXzXitA9bFJRg0bbr9/3RKDkXoqz/mAGgHZ37jz88BGyNq6dJd06o2N/2MMPxXTUU9SAP5uY8TiaW0T4Mx6KcB1CZRsnFjzInh/S0SJxcAvYwsUZKuAJDyFnimtCsaD46oV0u3qxaKrBlkstfvPXVeY3LJ+z73khNHcuwy220CseYby+AUWFoh6myZmbZtcvhnBTG0KCJzx0N84z83UWbOvjYN8+FAST1bEuDCuUZZzFlWH2uy5qV4KEGyW+4UYk8Nw3/4WtuyYIRbYT9zzC7jJKoRAIQYwQJWN2GmohU0FKiNVZaEaespnE8ARl1acyMTjr2Gidha9CyTTwAUUKpBeEXkJtQaOjSrXew6ga/J6b3kfJy5PWq4V17TMrKk000iQH6fPhwR27+NNH7+Yj/CX7GoPNXSfnUxY+w6ZDVO5ESp+L3/thAOatrKc0ZTN8YArP82iZSNFHH76qcv7mo2s5zgQvf+sxhzSkQ/hetRG0FWU0FqaoOMQ8l+Z8sPPT2+/SOKWTRpDw587DT6Zm4o2VSob0vJlWeoc9/PArIH4PQe686lVQZhl8l2g+i1ftAPb8kA6A4QVekjZe7XblH2Hwo3oQ0ql6+HOhlnkk8xMt2AZ0pl4eHr6iKFjKJTRGH6ehMElfupNn2pbTPAdx3heLqmlBaq3iIxyf4ZVNRCoeux78OQB5JzCszcZSUmofqSkLT4KWCGoexic8uhsUnn12H9v2j2GEd7GuXGFiF0xWs3JihKmYs//m/ETwAIjWmZimh6tHMR2PiuKx+6lHZo9RVZCNJkiJhwQUfD8YV2p5UPR1uMDvsIevR5IUQrnpLJyOeTNhPl1volX0szXZzJsGCnwneQG+qxKNlkGJE8tMoDsOu9RBGlWXxfOSpHoDdd3OZWmEItj/9Bh7d20j6oUZtCdIlkp0XXTRGfhFjuacNvjRiEHFV0GCqoWYSqQpCpuYUqHgBU9xieQXU0UWmyYCMWcefroxyWFxzWJ5nPSSmYpDs1rv/UrYsAWIJOMIQPVnjLIiQ8Rzw1C9ceP11XzmxpmlTbiauhcphaox/JnluBU7HNKZew8f4DfW/gl/sPIthI1Tbwgy13R0X4tQPJa5A3zj+ndx76U30KHNzfX4YtF9gaP4qC4sfu1r8QQ4TwUbmnlnFFVoWFojHdGfg5umzVMYnNQYtiZgf4mVl11O3tbYv/eH2EaBi8Zsmn+xlcEFQTZLQkRwn/cn5yYCRyFWZ2FEgmvOqBZV3fWLLTjPeyi6KYWoLbGFDyhIbxTV8+lYfykwY/CN0Mz16zYH996UkqMu3TD9umU181pxL+snD/KblUN8Tt7KX7Od6xemUJQUNi7JySH2KyOkQ5285jf+ZOazEZ3WhQn2PTNG/9Y9ZESBCUtlWUvrnIXpzmmDD5ATgZ4OmoEZCipAU8oYY24HjpBMKJJxKekxTXRTnSVrfCZJNjaho1aXmDliXTOe5eGQzishJRMgXO2apFY9fOG6KCJKvJBBiQfxz/r2GG/9yAZaFyWnPxepbpqpMmgfJ46Iv4YiBqW8g/MSxPABeho28LY1fzqn3/FC6V58EW45yTLxLI5homkebeGXx4btYdSqJpTuSa47773sbBMk3QV4UlJyh4joFiW1Qv18MEWOCyuS7f1TTDaXaJuoo+PqdxPWXIzxbQB0bU2h+D5OMki5rBNxCM82W/nJwOBHUxZWKnAgQlX1262inp57nuC1//tjfueOu/nWL55iMuaTKng4uPhSRbojRGyH5o5gpfH8kA6A2hnM82hidggtEm1nBc/wmaVpNus7SZKhZ8nrWVS/AtQItrCp6+/HF5KpiIZMzm4hOW9lQ5Byvcdmi9iH8H3Wve6m0/8hjsM5b/DzAiypIzUdzQwMVRt7OeT1UDEUHrFcDAk9pkW8ITS9rDvTWMl6NF/BlCrpqEQcIVV7OKTzSvHw41UvXpUaSB/hOihqGAFoR7RUrGuNzJrPeDTw+ivCwRUeij8jaGfFdNyKN11tO9cG/+WIoqro/kWsCN8H0qeJQaKx9rM9rFloVYNvSIjqDezqWY5pNZBRikgvgxUxif9mL3XrbmBp+G66HZMdQ3nCPWnCfog9e3bTu7SDpmyRBZOS0DbJ7gsvIe+LYB8IEyUy2+nKTVSwIjq6qZJqDWLnoVxw7Swb7ufi0iQZVedroTTvz8K/dkdoKZRxhIfwdfAzhH1v2qu2y0cb/FAyyC6zn1fjFk8G85/LHiJbuAe30Elz51KWNl6EpxlI4TMpVHTbY7c2xNZfPDnr890rgxM2TSTZr4zQZtsku7vPwC9xbM55g1/RVUyp46sqwgy8gzZlN1NuMxUDthkeN9XF0XIuiTmK3wNYdU04Th7XzlNfNzvXf8bDf2UY/FjV4CtoCNdFeIHBBzCTqeN+LlVVH60EvheKnDH4h1tCHvbm5jqk83KlpfUqYtoEy0vb6WXLtMF5uaD6PhXhoiEYz5RxjdcTET4FOYT0s5iRNM0t7TSsvIIF4fsRSKysx+I1qwAY2rKf8Lo3owBXPxlFr7h03/ZeyopAc6v7N8/T0clPlKd7Bbf3BDUKoqIS90NIReW/bryKp27axNPnL+DvIh43ToxxwcEJbFwUz8D3SxhHOBCVYjWGf0Q6dLQuGbzWNPveTKaDjd7J8V+gRXcQMYLN1qb4AirVBXnJFGgFk2Ely8QT+2d9PtEQprFBIysKlDTJ6hVzu2d0bt41RyBMdVpeAUNHlQJT5tB8iz7XIeLD65a1MjVWnpZXnQvMVAvK5CDqxCB1z5PXrWuOsOSCZjqXnTnBtrlE0zRKpomKglrMoRZzCK261H5eheSR1LUFxqssnCCGf2RIp6qnkxsPDP5cb9q+XOlZfjm+E+L3jT/jV/gPkvWdZ3tIs1D9w5r4cOeP95K0m4goPmSHAB8tFFzbiqZTqWuj3XyCXlulXDHpD4+i9zk8nB9hIF3CKyTYt3gxqy9Yh6Or6NUajOfr6OQmysTqgodAunsJgiw5xaDBT1CyNMae+QkATYkEb1t/Pv/y+s30TmZwcBGOBAF6Ijl9PvsYIZ3Fy1ayY8UIq18zW1cpmmzE9zQqyg8BWLDk9TPjigWrVwUTT3aBhMKkfZSMRCJZYpc6iO64rHzd617MtJ8y57zBV0wVTRq4qsTVFOJSY5cSSBocEj6XlHWKo2U81ydRf2rt6V4MVl0LRmYMPTtOunvRrPdUXWHzu5YST7+8NuhORCkUQZWC0MA+zLHBaYMfrnpKxyLdswSkrIZ0fFQ5O6QDwfIdzl0PXzcsqKxDUV18TyeaaDj5h15CVN/FER6q8Bl9aBhX9dFUA308KDBSQjMxbLlgE+si38GSgq98dRu5Nof2TAOPjz6GEFOUdR3jgkX4noerq5jVLmqR+POKribKRKsG34ynUZQJykYSp1TEUST3/c8PZx2vKIKQXkQK8KqtNfX2meplu+Si6QqqOnON6brO5re/kXg8+bxzKfiVOlSjgFvooKVrJo23XKegmqtQI1dQrjdorPgcUDPs37tz9pxVMuxXRmkRMYzI0dXBZ5Jz8645Aj2kovo6FXyKqiSBxx4r2K03dcH6UIihvYFW+1x6+IphYlSzVNKLz5+z73mpqIRCKN4RnkxV2jaeOv4qJdG9DOEFHqKHh8YJQjpz1PHqlUBj45UA+JW6l03R1WG06kNaUTxCviC+JPBy7XJV7lefWb2m17+JFn0bnjqBs7dAYlEzhtQJF0tc8WwOw3PJD+0k09cHiiBcrZmJH7FKrJRc7LJH7IhewYqepWymUMwBAKR7tPSELgIvXnoFkBBdMZMVZ5fcWd79SfGCfYPD4ZzDRNImengzqrGIrsVNLOxoJqeU2faDB6aP8X0fO1/GEz7R2NzXfLy8rpazgBnWg40bAVnFJinL/CITNLy4bdMCInGTqdFAdW+uUjIPY+kSVfgkFpw3p9/zUmCHI+juYYOtIrTgZk3WH9/gG8kmhOdQooKLjyZmF17BTEjnXPXwARauuCaoH/FO3oXrpUarGlKhuuRV6FkYPPQz3hRCguPPeOfR5gWM6a0sCN9D0hMMZBtx8bhkrJHOEUFbDHZmDe744r8CECGI06fqZv7ufDUl83AMH0AYOSpmCulk0DyBa2rc/4O7Z41zetvXLWA5Ho2LZpq/VEreCzL4qggyeOYtet2s1ztaZ1ZfV7/mfC55+9vQpMLoyEymz/69u9ivTRB2dDKDkTlpXH4k5+5dUyUU1RFeYEykgLAsMlIMURSS667qmZYyEIqYXjbOFZYuSIV9FOOVsTl7ItxwBNMuADpCSWB6gQBVInl8MTKhKKiuQ5ESnvDRlZkMHjOkIRRBcSrIr34hvWFfbYQjSSK8m4b6N57toRyFXl2l+qJC12Wt2JnAuA2YeSzXnt4QPUy++QIuD32LovDZ++MhDpGjudzKoxetY0vbBRS7l7JH01ELRVLEqDxPR+fIHPzDmIaNp1moI1kS5TyDYgLxs/ys2LkQ1RWimyNWrtC+oHv6Pbv8wjz8puZroHA1bfNWznp9zcJgA3bCGqWtOYaVTNJqa/TrZbLVENeen/ycYSVLhxHBKfsM7Mqc8ve+GM7du6ZKJGYgvZkfd1IaJD1B2TzccSkw+LE6c1ZMby5Yu/k1bLhybkqqX2rcSASrnEEoEYSSwHAy5MMRNO3EN5LuuRSpxlWPMPhCEVjVAjTNUOYsPfaVwkVX/AHnbXzn2R7GUZhGsCpLd/Rzy81LkJM2WS1PwZAkChXsyYlZx1vLr8dUbPLWfkqRLdxrPsnDsREOtc1Hc+oJDWaJ7t5DuG8XMdmE66s88cN9TI0Fq+78MQx+uFowZWYkS9vaKCg2zUT5yY9/Mn2Mf9jHdzOEPI9YbOYhUim6mKFTDxmuWH8zm2/43FGvn7fgPEpanmzdjEBae3cjjvD42e1fBWB07whIuOxN16DqCvueGTvl730xnPMGPxYz8PyZvN6f+V3U+Qp6teQ/XDX4cyWpcCS9b/sDltzyf+f8e14KZCRCqJRFC29GC23ELE9SjJxcWtrwXYpKNUtCn51vffjhey7m4L9SCFnBb+NUC5/0KUHWyuNJjUjFxRv/6YxYGNB43nU84y9GjR/ANidIltq5rnIeSzPrwVhFa2MTws0ADmrIoyRcfv69fXz5Tx7h23/7C3b/YgRFFbNEBROpaj/iksH8tUFsfj+DqD8r43nBCsSjunL3HfTndQwLYvinX2CpawYXvq+FD//mm6dfu/CtNxPxTfpGM7iOQ79q02TrNC9dTEdvHfufHptugTgXnPMGP5k0cb2ZH/cZv42IFMSqGTmHjcxcbti+KolGiRbGUfUuhNaAWRyjHI2d9GMhIfGrV6Wpz14NHG6Eci7H71/uxBLBfePYQYFcrBiibJQAgeo7JLK/mK5kLWcyfOPjf8n/KteSIouen8fSJx6h0YvQ0H2QP/x/l/DWP/oAIS04XtNUMulxfuXjF7LhxvkUp2z6d2SIpS3EEavBdFsQUze8KG3nn4/iuux0dzLfi3L/D+7Bc138aYPvoeiz95Xs0gvz8E/ExhXraErNVEPH4kna3RAjhs8D//rFYPURDzLY5q2sJzdRZry/cEa++1icecHlVxh1qRBONaRjSZ2r2pshW6ShJfBGw/HAyMxl0dWrESUaIV4IMjPKCpi5KezYKRj8I9RADXP2XsbhLlnnag7+K4FEXRwmbRxX4jgO6Uqc8UjQBGU0LVh6YJBS3qb/8Yf4zp13krMs5tlZ3m58mf8Y6qN1cAdlZRXhXFBfoIWiLOtt4YlnR7FkmKlQgXh9iLXXdnP+NV2MHMgd5QC09cxDUsYxkkxMZGi0K4xoCgNegdhjgqFl23EJvGjhe6B0zPr8C87SeYGk2hPIkQyPDg6hKxrLrn8tAF0rgqrb/c+MUt8+N42WTstVmpiY4IorrmDhwoVcccUVTE4eu9P61VdfTTKZ5Prrrz+dr5sT6tMhXKlgSA3Tt5jXkgSgs7sq4xt/6UI6rybUWAxFujhIbF1g5nN4sZMLkcVCM/NshcKz3jtcfFUL6bx8CcWT6FLFlTA8dAgVFd/OADC1oJ1Yyed/P/MJ/uu++/CE4OZ160n1N9B/X4qNT+7g50sEZe0AzeU0Q4NBY/E1b/8gPS0aYRlGhmZMlhCCpu446dbZxjHRvhhEloqZYrCvj66GRnwrxNO5n9Lmhdny3Udxqg2HVBdc2UghG4SgPM/Hdfw5NfjzN62n0Y/jqoIuN0XPsqDKOJIwaZoXZ9/TcxfHPy2D/8lPfpLNmzeza9cuNm/ezCc/+cljHvfhD3+YL3/5y6fzVXNGXdxEIkn4YVIeTAwHy6klPcEyr6UnyZorOl8xVa4vF7Rq+MZRfKSpEi7kkYmTG/z4ERWPZnj2jXy4+KoW0nn5okdiGDLo3zY6EGjRu8VRTMWjZ/PNPL16FQcNg27XZUXXfMb+6tMs/PmXGc+bfOs1Cg9vchiwgmya3U89B0B83kou/8SXMaWBEjm5IbaSjUhtgrKZYvJgP/OWB/ntE85+tkiHxaMLsYWL8CFsS0qheg5tCzaTj1Vle6bpWdRLlxtIjKQsY1YtRffKekYO5ChkKsf7+GlxWnfOd7/7Xd75ziBT4J3vfCff+c53jnnc5s2bZ+2Cv5xQNYWKAE1dwsXvuJrcWJmiIknGg3CCbqhc9MYeDOucj369IIxqNaTeKulaU0+kkEfET94fNtU8ow0Tis0+/nDxVc3Df/mih+PoUsFVBLmRYMVfmhomGYFOr5mdixbRdmAv8+/5Ed2f+Xsqfj+fu07hPR9Q+eX5Lu8tZFE6VzGlFqjsyUyfd3Ii8Hqfr6NzPKQxScVKkd21g3kXX4zwfbxQjF/4W1FRcPAQvk+0bOOmm+mrGvxpHZ05NPiKomA0m7yusp7IitkyKvNWBjUG+5+dGy//tAz+8PAwLS3BgJubmxkeHj4jg3qpcTTBhB+jZ8kyvKyNHa4ZlNPFigXe+SWXRLj+6jZUKWcpZR6PZMdMiXsoMVtobTqkcw7n4L/cMSIJdF/BERJ7vICLx+TUJIlkmAce/DGK57D+iacYSpX5x1ui/Md1r2XxhvfwodJb+NbAEMtLgiWXXMNQQ4bG4dh07vxUtWfs83V0jocwcpTMJKk7f4gaClFfLuOHoyTK32VraAuOcBG+S7RcpHn1PA5um0T68iXx8AGSa9pIyjDzVy+d9Xpda4R4vTVn6Zkn/asuv/xyhoaGjnr9E5/4xKz/CyFOOzf6C1/4Al/4whcAGB0dPcnRZw5fE8hKcGGZZR+veW4LrM4FQlVvvjg1xeR44D0ZR4Rrjke8sWnmHKnZOjEzIZ3aA/nlih5LofmCgioRWZ8JM0uuomLJeiZCFuFsFz+97Rbe/M63kP6Oza4nhnnXb2/kqaf2Uf7xZ/iFv4iLuxrYPz9KaijO/v27mD9/MYWpHHEE4cSpRQo0vYSv6KSyFR767h1YCYljRxgb1vhZ79dY038d0nPQVUHX8gZ2PznG+ED+qG5Xc8W6S15DZsU4yeRsvWUhBCte2z7d6OdMc9K/6p577jnue01NTQwODtLS0sLg4CCNjafXjOG2227jtttuA2Dt2rUnOfrMIQ0FYfuMTZYI+QJRS8E8bcKJGD5g53LkJibRASt1cg8/fITBt5LJWe/NhHRqHv7LFT2aQvUlti4J5TTyeh5PM9gfqqe1VEIwn8WNG0konex8/CGWXNCMGdZZtrKL3/rBB9C1Fi5VlMDzfbifvqd3MH/+YspTBSBK/HnXxPEIWT4FYDDdSvGLn+DrNyS4aGQjppLktxpfz10HBhC+h5tK09Eb7M/1bZ0g2RAkCsy1hw8cZewPs/ryuVNAPa0758Ybb+T2228H4Pbbb+emm+auU8tcopgKiivZsSvwRBtb51ax7lwgWo3h2/k8+Ykglhs+gRb+YaxkAqrL+OcrB9aydF7+GPE0qpRUhEeyFMEReSqN7UihcOPb344V0SnnHbY+NIDn+Kx4bbBnE42aTJgXM68jEA7s6JzPqJFB7isC4OSCitq6ulNTB00lgmvnsd4QvftyvG6wL+hjG45C3zMIxUN4Pm7bPCJJk7rWCAe3Thyz29WridMy+H/wB3/A3XffzcKFC7nnnnv4gz/4AwCeeOIJ3vve904fd8kll/CmN72Je++9l/b2dn784x+f3qjPMJqlobuSvgOBKmZ398k90Ron5rAn5k7lKFXTdaPpkxt8RVEwnKBox3heodbh9pJ6zcN/2aJaERTPRwpJyLOYzA3jJtKstgyaV67EigTN6J/9ySHaFiVJt81kYn3zo5fze786s7Ifby7QMp7CdV38gkNF2ITCp+aMdbV3AyCjF+CYFpf/QiFVLqJYYfbt2ItUQPFB7wyUNDuW1jG4O0txKsiOmeuQztnitP6qdDrNvffee9Tra9eu5Ytf/OL0/x988MHT+Zo5xwhrqBJGB/KozKRk1njxRKIRPCHw8nkqmQwAybpTm9eQ72MDZnT2za1qCpe8ZRFti5NndrA1zijCD7zkgqiwWzgoFZur/+9HgaBa+tD2SXxfcvGbFp7wPOGFaaJ9Fru2PQdFn7xeOmU56I6Fi1j9k2/yVO5GHl3/Z3TtvYN61WSPbjJwSOA3SnTHJ9oVhE86e+t4+p6D7H9mHAhk01+N1FwlglZmAkF+sEhBlUQjr4xm4S9nFEWhFAoj83ncTBaA5Cl4+AAWoPg+qnH077DysvajCm1qvLxQqgb/MW03ZUOlaWIfRrja4jKi4/uSaMqcTkE8HovWBOqTg8/tRStBUT/13PRwyyI2xm/n6vo/IxtS2b3wLQxnu/E1Dc+KgKJgOi4N3YGH37owiaopDO3NopnqnAslni1enX/VCyRS1csxplycWkrmGaMcCkEhj5fNUjJNLOvUsp9MRUH1vJMfWONlieIHIbk+dYxQdoKOxIwY2GE9pOWvaUM5iVGtr2+iPzyK1udgVjQqlnvC448klGrm4IUfp+HX/pXf/fQ1JDL3EC4HK0YvkgKhECpXaF8QpAFrhkrrwiCUa1qvXhtQM/hALBYUWYV8gZ6oefdniko4gpIvwFSWQuTUC+9ipolRM/ivWIQMPHFDqijDB0g1zmy0xustdFNl6cbW4318FrnWoO1hrBzGs16YimTHVb9JvH0JiqLQ857NXPzIX2JUfNxYMJ5QpUjyiO5ZHb1B1syrdcMWauJpACSSBv3Vf9dUMc8cdiiMWiwgpE85euphmCtvvZXcMWo/arwy0LHRpcpyp4FdnkeyrXv6vRWXtbN4Q/O0Cu3JSCxpwdgtMFydoXDu5B84Dusvv4z7WltoGBmgv70NAMOf7VR0LK2D/311G/yahw8kEzOhhqa2Wnz4TOFGIujFAlo+hx09uY7OYRIdHbSvWzeHI6sxl6iqza9ULiVuBUY9Na/3iPeUUzb2AL2rV+NWexuLyIvXqFcUBfeWt9EyOAjVAlEZmp0UkG6LEI4bmOHT18J/uVIz+ED6iG458+bVUjLPFH44glEsYuRyuPGXp5ZSjTOPorkoKDhedbO+58X3aI5G4xyKB1X3xinq6ByPS976JsL5Ga15kZh9rwshuOLWZWy4cd7zP/qq4dW7dnkB1NcFYRwfyaL5p5ZJUuPkyGgUq1jEVxRyL1PxvBpnHk13kVJiV0YJaS5Wfdtpna/cIWALmLHwyQ8+AZFImOymyzHLeSqWhXkMZYD2xa/u+7/m4QPhkI4jJEVNED4Drc1qVIlECJeKRE9RKbPGq4OwBfcP304++yzJyOmbmK51S8irRVq6T19yYMOt7yY9FgiTxdo7TnL0q4+ah1/FVsAN155/ZxI1FsNwgxQ9JVEz+OcKumUyVuon4np0tp363s3xWLhkOXxi+RkYGbR2tBHxJIrn0bp86ck/8CqjZuGq1K9vYMWmc++JP5eoR2TmGKcoelXjlY9uWkgEeUcjdZqCinPBxX/8x6xUTRadv+ZsD+Ulp+bhV3nPO1ee7SG86tCPMPhmzeCfM+hHtKZMtnedxZEcm66e+XR97E/O9jDOCjUPv8acYR6RmROqS569gdR4STGOMPip7mVncSQ1nk/N4NeYM440+LFTFE6r8cpHP6IXcWrxS9fXosbJqRn8GnNG+IiN2njdqzvdrcYMRjh40Ic1FyP58ovhn8vUDH6NOSN8hId/qkqZNV756FXdpFT01StC9kqlZvBrzBmxRJCS56gqkUiti9i5gh4KfvdkqiZT8nKjZvBrzBmxakinEImecuOKGq989GgSgFRT04kPrPGSU7sLa8wZ4XAIW9MoRmuyCucS8fkr6WnR6Nn0hrM9lBrPo5aHX2NOKVkhKjWDf06hhaLc9OnvnO1h1DgGNQ+/xpxSDkdwawa/Ro2XBTUPv8ac4rz3Nhqaaql5NWq8HKgZ/BpzyhXveOvZHkKNGjWq1EI6NWrUqHGOUDP4NWrUqHGOUDP4NWrUqHGOUDP4NWrUqHGOUDP4NWrUqHGOUDP4NWrUqHGOUDP4NWrUqHGOUDP4NWrUqHGOIKSU8mwP4ljU19fT3d39oj8/OjpKQ0PDmRvQK5TaPATU5iGgNg8Br+Z52L9/P2NjY8d872Vr8E+XtWvX8sQTT5ztYZx1avMQUJuHgNo8BJyr81AL6dSoUaPGOULN4NeoUaPGOcKr1uDfdtttZ3sILwtq8xBQm4eA2jwEnKvz8KqN4deoUaNGjdm8aj38GjVq1Kgxm5rBr1GjRo1zhFedwf/Rj37E4sWL6enp4ZOf/OTZHs5Lynve8x4aGxtZvnz59GsTExNcccUVLFy4kCuuuILJycmzOMK55+DBg1x22WUsXbqUZcuW8ZnPfAY49+YBoFwus379elatWsWyZcv46Ec/CsC+ffvYsGEDPT09vOUtb8G27bM80pcGz/NYs2YN119/PXBuzsOryuB7nsf73/9+7rzzTrZu3cpXv/pVtm7deraH9ZLxrne9ix/96EezXvvkJz/J5s2b2bVrF5s3b37VPwQ1TeNv//Zv2bp1K48++iif+9zn2Lp16zk3DwCmaXLffffx9NNP89RTT/GjH/2IRx99lN///d/ngx/8ILt37yaVSvGlL33pbA/1JeEzn/kMvb290/8/J+dBvop4+OGH5ZVXXjn9/7/4i7+Qf/EXf3EWR/TSs2/fPrls2bLp/y9atEgODAxIKaUcGBiQixYtOltDOyvceOON8q677jrn56FQKMg1a9bIRx99VKbTaek4jpTy6Hvm1crBgwflpk2b5L333iuvu+466fv+OTkPryoPv7+/n46Ojun/t7e309/ffxZHdPYZHh6mpaUFgObmZoaHh8/yiF469u/fzy9/+Us2bNhwzs6D53msXr2axsZGrrjiChYsWEAymUTTgnbW58o98ju/8zv81V/9FYoSmLzx8fFzch5eVQa/xokRQiCEONvDeEnI5/O88Y1v5NOf/jTxeHzWe+fSPKiqylNPPcWhQ4d47LHH2L59+9ke0kvOD37wAxobGzn//PPP9lDOOtrZHsCZpK2tjYMHD07//9ChQ7S1tZ3FEZ19mpqaGBwcpKWlhcHBQRobG8/2kOYcx3F44xvfyNvf/nbe8IY3AOfmPBxJMpnksssu45FHHiGTyeC6LpqmnRP3yEMPPcT3vvc9fvjDH1Iul5mamuK3f/u3z7l5gFeZh79u3Tp27drFvn37sG2br33ta9x4441ne1hnlRtvvJHbb78dgNtvv52bbrrpLI9obpFScuutt9Lb28uHPvSh6dfPtXmAQBEyk8kAUCqVuPvuu+nt7eWyyy7jm9/8JnBuzMVf/uVfcujQIfbv38/XvvY1Nm3axFe+8pVzbh6AV9emrZRS3nHHHXLhwoVy/vz58uMf//jZHs5Lyi233CKbm5ulpmmyra1NfvGLX5RjY2Ny06ZNsqenR27evFmOj4+f7WHOKQ8++KAE5IoVK+SqVavkqlWr5B133HHOzYOUUj799NNy9erVcsWKFXLZsmXyz/7sz6SUUu7Zs0euW7dOLliwQN58882yXC6f5ZG+dNx///3yuuuuk1Kem/NQk1aoUaNGjXOEV1VIp0aNGjVqHJ+awa9Ro0aNc4Sawa9Ro0aNc4Sawa9Ro0aNc4Sawa9Ro0aNc4Sawa9Ro0aNc4Sawa9Ro0aNc4T/D6MRkAJWAqNbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画图\n",
    "plot_multiple(forecast_test,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51d9dca0",
   "metadata": {},
   "source": [
    "#### 将forecast_test和y_test都完全展开，得到连续的每天的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b0b11815",
   "metadata": {},
   "outputs": [],
   "source": [
    "forecast_test = forecast_test.reshape(-1)\n",
    "y_test = y_test.reshape(-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bd9188a",
   "metadata": {},
   "source": [
    "#### 将最新预测的一个数据插回forecast_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1f110068",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.05705312\n"
     ]
    }
   ],
   "source": [
    "# 预测的最新n天：\n",
    "predict_n = forecastpoint[-1]\n",
    "print(predict_n)\n",
    "forecast_test = np.append(forecast_test,predict_n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "480361ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((659,), (658,))"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast_test.shape,y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "97bff2d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(forecast_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1a55b6a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(np.append(y_test[-configs['data']['sequence_length']+1:],predict_n),\n",
    "             y_test[-configs['data']['sequence_length']+1:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bc378551",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.100618</td>\n",
       "      <td>-0.028187</td>\n",
       "      <td>-0.022116</td>\n",
       "      <td>-0.019514</td>\n",
       "      <td>-0.002602</td>\n",
       "      <td>-0.01301</td>\n",
       "      <td>-0.037728</td>\n",
       "      <td>-0.055507</td>\n",
       "      <td>-0.021683</td>\n",
       "      <td>-0.038595</td>\n",
       "      <td>-0.037728</td>\n",
       "      <td>-0.045533</td>\n",
       "      <td>-0.042931</td>\n",
       "      <td>-0.058109</td>\n",
       "      <td>-0.057053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.028187</td>\n",
       "      <td>-0.022116</td>\n",
       "      <td>-0.019514</td>\n",
       "      <td>-0.002602</td>\n",
       "      <td>-0.01301</td>\n",
       "      <td>-0.037728</td>\n",
       "      <td>-0.055507</td>\n",
       "      <td>-0.021683</td>\n",
       "      <td>-0.038595</td>\n",
       "      <td>-0.037728</td>\n",
       "      <td>-0.045533</td>\n",
       "      <td>-0.042931</td>\n",
       "      <td>-0.058109</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0         1         2         3         4        5         6   \\\n",
       "0 -0.100618 -0.028187 -0.022116 -0.019514 -0.002602 -0.01301 -0.037728   \n",
       "0  0.000000 -0.028187 -0.022116 -0.019514 -0.002602 -0.01301 -0.037728   \n",
       "\n",
       "         7         8         9         10        11        12        13  \\\n",
       "0 -0.055507 -0.021683 -0.038595 -0.037728 -0.045533 -0.042931 -0.058109   \n",
       "0 -0.055507 -0.021683 -0.038595 -0.037728 -0.045533 -0.042931 -0.058109   \n",
       "\n",
       "         14  \n",
       "0 -0.057053  \n",
       "0       NaN  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(pd.concat([pd.DataFrame(forecast_test[-configs['data']['sequence_length']:].reshape(1,-1)),pd.DataFrame(y_test[-configs['data']['sequence_length']+1:].reshape(1,-1))]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2456c981",
   "metadata": {},
   "source": [
    "### 不成熟的复原函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "bc75f1d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[8.977592]], dtype=float32)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast.reversal_normalis(predict_n)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "deep",
   "language": "python",
   "name": "deep"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
